Table of contents
  1. Story
  2. Slides
    1. Slide 1 Data Science for HealthData.gov Developers
    2. Slide 2 Overview
    3. Slide 3 HHS IDEA Lab: Innovative Linkages Initiative
    4. Slide 4 U.S. Turns to Private Sector For IT Innovation
    5. Slide 5 HealthData.gov: Dataset Search
    6. Slide 6 HealthData.gov: Dataset Search as Linked Data
    7. Slide 7 HealthData.gov: Excel Datasets as Linked Data
    8. Slide 8 HealthData.gov: Data API
    9. Slide 9 Knowledge Base and Semantic Search: MindTouch
    10. Slide 10 Data Ecosystem (GitHub): MindTouch
    11. Slide 11 Analytics and Visualizations: Spotfire
    12. Slide 12 Results: Conclusions and Next Steps
    13. Slide 13 Big Data: Google Page Rank
    14. Slide 14 Data Science: Questions, Data Mining, Invert Bath Tub, and Digital Government Strategy
    15. Slide 15 Hospital Compare 2014
    16. Slide 16 Hospital Compare 2014: Spotfire Cover Page
    17. Slide 17 Hospital Compare 2014: Spotfire Data Dictionary Tables
    18. Slide 18 Hospital Compare 2014: Spotfire Socrata 2014
    19. Slide 19 Hospital Compare 2014: Spotfire Timely and Effective Care-Hospital 1
    20. Slide 20 Hospital Compare 2014: Spotfire Timely and Effective Care-Hospital 2
  3. Spotfire Dashboard
  4. Research Notes
  5. Press release: CMS creates new chief data officer post
  6. HHS Ignite Winter 2015: Announcing the the 13 Selected Teams
    1. A ‘Prevention Architecture’ for the Second Decade
    2. Building Tech-forecasting into FDA Operations
    3. CDC Epidemic Prediction Initiative
    4. Connecting CHCs to Transportation to Improve Health
    5. Developing a Real-Time EHR Data Collection Process
    6. Dynamic Risk-Informed Inspectional Work Plan
    7. FAST! (FDA Accredited Study Sites)
    8. HRSA Huddles: Improving Collaboration & Engagement
    9. LabGenius: The Smarter Notebook for Scientists
    10. SAMHSA Training Advisor
    11. Simplify Funding Opportunity Announcements
    12. Technology Transfer Invention Portal
    13. Two Clicks Away: Sharing Successful Strategies
  7. Open Letter to all Ignite Applicants: Thanks and Keep Innovating
  8. HealthData.gov Developers
    1. Catalog API
      1. Accessing the Complete Data Catalog Listing
      2. Searching the Data Catalog
      3. Accessing Individual Datasets
        1. JSON
        2. RDF XML and Notation 3 (N3)
      4. JSON Schema
        1. Primary Fields
        2. Extras Fields
        3. Resource Fields
    2. Developer Challenges Overview
      1. Evolving the HealthData.gov Platform (HDP)
        1. Domain Challenges
        2. Platform challenges
    3. Source Code
    4. Clinical Quality Linked Data About US Hospitals
    5. Data API
      1. Examples
        1. TXT4Tots
      2. Hospital Compare
      3. Finding The Data API Resource
      4. Using the Data API
      5. Python Examples
        1. Example 1: Paging Results
        2. Example 2: Full-Text Search
        3. Example 3: Filtering on Field Values
  9. TXT4Tots Message Library - English
    1. Agency and Program Information
    2. For Developers
  10. Hospital Compare - API via CKAN Datastore
    1. Data and Resources
  11. Medicare.gov/HospitalCompare Downloadable Databases
    1. Table of Contents
    2. Document Purpose
    3. Background
    4. Hospital Compare Measures Description/Background and Reporting Cycles
    5. Data Collection Period Information
    6. Hospital Compare Downloadable Database
      1. Access and CSV Downloadable File Contents
        1. Access and CSV Data File Summary
      2. Access and CSV Data Content Summary
        1. dbo_vwHQI_HOSP and HQI_HOSP
        2. vwMeasure_Dates and HQI_HOSP_MSR_DT
        3. dbo_vwHQI_FTNT and HQI_FTNT
        4. vwHQI_HOSP_AHRQ and HQI_HOSP_AHRQ
        5. vwHQI_HOSP_AHRQ and HQI_HOSP_AHRQ
        6. vwHQI_HOSP_AHRQ_STATE and HOSP_AHRQ_STATE
        7. vwHQI_HOSP_AHRQ_NATIONAL and HQI_HOSP_AHRQ_NATIONAL
        8. dbo_vwHQI_HOSP_ED and HQI_HOSP_ED
        9. vwHQI_HOSP_ED_State and HQI_HOSP_ED_State
        10. vwHQI_HOSP_ED_National and HQI_HOSP_ED_US
        11. vwHQI_HOSP_HAC and HQI_HOSP_HAC
        12. vwHQI_HOSP_HAC_NATIONAL and HQI_HOSP_HAC_NATIONAL
        13. vwHQI_HOSP_HAI and  HQI_HOSP_HAI
        14. vwHQI_HOSP_HAI_STATE and HQI_HOSP_HAI_STATE
        15. vwHQI_HOSP_HAI_National and HQI_HOSP_HAI_National
        16. dbo_vwHQI_HOSP_HCAHPS_MSR and HQI_HOSP_HCAHPS_MSR
        17. dbo_vwHQI_STATE_HCAHPS_MSR and HQI_STATE_HCAHPS_MSR
        18. dbo_vwHQI_US_NATIONAL_HCAHPS_MSR and HQI_US_NATIONAL_HCAHPS_MSR
        19. Hvbp_ami _02_07_2013 and hvbp_ami_02_07_2013
        20. Hvbp_hai_02_07_2013 and hvbp_hai_02_07_2013
        21. Hvbp_hcahps_02_07_2013 and hvbp_hcahps_02_07_2013
        22. Hvbp_hf_02_07_2013 and hvbp_hf_02_07_2013
        23. Hvbp_pn_02_07_2013 and hvbp_pn_02_07_2013
        24. Hvbp_scip_02_07_2013 and hvbp_scip_02_07_2013
        25. Hvbp_tps_02_07_2013 and hvbp_tps_02_07_2013
        26. dbo_vwHQI_HOSP_IMG_XWLK and HQI_HOSP_IMG_XWLK
        27. dbo_vwHQI_STATE_IMG_AVG and HQI_STATE_IMG_AVG
        28. dbo_vwHQI_US_NATIONAL_IMG_AVG and HQI_US_NATIONAL_IMG_AVG
        29. dbo_vwHQI_HOSP_IMM and HQI_HOSP_IMM
        30. vwHQI_HOSP_IMM_State and HQI_HOSP_IMM_State
        31. vwHQI_HOSP_IMM_National and HQI_HOSP_IMM_US
        32. dbo_vwHQI_HOSP_MORTALITY_READM_XWLK and HQI_HOSP_MORTALITY_READM_XWLK
        33. dbo_vwHQI_STATE_MORTALITY_READM_SCRE and HQI_STATE_MORTALITY_READM_SCRE
        34. dbo_vwHQI_US_NATIONAL_MORTALITY_READM_RATE and HQI_US_NATIONAL_MORTALITY_READM_RATE
        35. dbo_vwHQI_HOSP_MPV_MSR and HQI_HOSP_MPV_MSR
        36. dbo_vwHQI_STATE_MPV_MSR and HQI_STATE_MPV_MSR
        37. dbo_vwHQI_US_NATIONAL_MPV_MSR and HQI_US_NATIONAL_MPV_MSR
        38. vwHQI_HOSP_SPP and HQI_HOSP_SPP
        39. dbo_vwHQI_HOSP_SPP_State and HQI_HOSP_SPP_State
        40. dbo_vwHQI_HOSP_SPP_National and HQI_HOSP_SPP_National
        41. dbo_vwHQI_HOSP_STRUCTURAL_XWLK and HQI_HOSP_STRUCTURAL_XWLK
        42. vwHQI_READM_REDUCTION and HQI_READM_REDUCTION
        43. dbo_vwHQI_HOSP_MSR_XWLK and HQI_HOSP_MSR_XWLK
        44. dbo_vwHQI_STATE_MSR_AVG and HQI_STATE_MSR_AVG
        45. dbo_vwHQI_US_National_MSR_AVG and HQI_US_National_MSR_AVG
        46. dbo_vwHQI_PCTL_MSR_XWLK and HQI_PCTL_MSR_XWLK
      3. CSV Revised Flat Files and Data.Medicare.gov Data File Summary
      4. CSV Revised Flat Files and Data.Medicare.gov Data Content Summary
        1. Hospital_Data
        2. Measure_Dates
        3. FootNote
        4. Hospital ACS Measures
        5. Agency for Healthcare Research and Quality
        6. Agency for Healthcare Research and Quality - State
        7. Agency for Healthcare Research and Quality - National
        8. Emergency Department Throughput
        9. Emergency Department Throughput - State
        10. Emergency Department Throughput - National
        11. Healthcare_Associated_Infections
        12. Healthcare_Associated_Infections_State
        13. Healthcare_Associated_Infections_National
        14. Hospital Acquired Condition
        15. Hospital Acquired Condition - National
        16. HCAHPS Measures
        17. HCAHPS Measures - State
        18. HCAHPS Measures - National
        19. hvbp_ ami _02_07_2013
        20. hvbp_hai_02_07_2013
        21. hvbp_hcahps_02_07_2013
        22. hvbp_hf_02_07_2013 Hospital
        23. hvbp_pn_02_07_2013
        24. hvbp_scip_02_07_2013
        25. hvbp_ tps _02_07_2013
        26. Immunization
        27. Immunization-State
        28. Immunization-National
        29. Medicare Spending Per Patient
        30. Medicare Spending Per Patient-State
        31. Medicare Spending Per Patient-National
        32. Spending Breakdown By Claim
        33. Medicare Volume Measures
        34. Medicare Volume Measures - State
        35. Medicare Volume Measures - National
        36. Outcome of Care Measure
        37. Outcome of Care Measures - State
        38. Outcome of Care Measures - National
        39. Outpatient Imaging Efficiency Measures
        40. Outpatient Imaging Efficiency Measures - State
        41. Outpatient Imaging Efficiency Measures - National
        42. Process of Care Measures - Children
        43. Process of Care Measures – Heart Attack
        44. Process of Care Measures – Heart Failure
        45. Process of Care Measures – Pneumonia
        46. Process of Care Measures – SCIP
        47. Process of Care Measures – State
        48. Process of Care Measures – National
        49. READMISSION_REDUCTION
        50. Structural Measures
        51. Measure Crosswalk
        52. Hospital Compare - CASPER/ASPEN Contacts
    7. Appendix A – Hospital Compare Measures
      1. Timely and Effective Care
        1. Acute Myocardial Infarction
        2. Heart Failure
        3. Pneumonia
        4. Surgical Care Improvement
        5. Emergency Department
        6. Preventative Care
        7. Children’s Asthma Care
      2. Readmissions, Complications, and Deaths - 30–Day Mortality and Readmissions
      3. AHRQ Patient Safety Indicators (PSIs) and Inpatient Quality Indicators (IQIs)
      4. Hospital-Acquired Conditions (HACs)
      5. Healthcare-Associated Infections (HAIs)
      6. Outpatient Imaging Efficiency
      7. Structural Measures
      8. Number of Medicare Patients and Medicare
      9. Hospital Readmissions Reduction Program
      10. Hospital Value-Based Purchasing
    8. Appendix B – HCAHPS Survey Question Listing
    9. Appendix C – Footnote Crosswalk
  12. Data.Medicare.Gov
  13. Datasets
    1. Hospital Compare Data
      1. Official Hospital Compare Data
      2. Download All Data
      3. Supporting Documentation
      4. Announcements
    2. Nursing Home Compare Data
      1. Official Nursing Home Compare Data
      2. Download All Data
      3. Supporting Documentation
      4. Announcements
    3. Physician Compare Data
      1. Official Physician Compare Data
      2. Download All Data
      3. Supporting Documentation
      4. Announcements
    4. Home Health Compare Data
      1. Official Home Health Compare Data
      2. Download All Data
      3. Supporting Documentation
      4. Announcements
    5. Dialysis Facility Compare Data
      1. Official Dialysis Facility Compare Data
      2. Download All Data
      3. Supporting Documentation
      4. Announcements
    6. Supplier Directory Data
      1. Official Supplier Directory Data
      2. Download All Data
      3. Supporting Documentation
      4. Announcements
    7. Medicare's Helpful Contacts Data
      1. Download All Data
      2. Supporting Documentation
      3. Announcements
  14. Medicare Websites and Directories
    1. Hospital Compare
    2. Nursing Home Care
    3. Physicians Compare
    4. Home Health Care Compare
    5. ​Dialysis Facility Compare
    6. Supplier Directory
    7. Medicare Useful Contacts
  15. Developers
    1. SODA APIs
    2. API Endpoints
    3. Available Data Formats
  16. Help
    1. Get Started
      1. Data.Medicare.gov Getting Started Training
      2. Basic Navigation
      3. Downloading Data
      4. Contact us with questions about the site
    2. Download and View Data
      1. Download Data in Microsoft Access Format
      2. Download Data in a Zipped Archive of CSV Files
      3. Download Data in Other Formats
      4. Downloading CSV Data
      5. Understanding N/A Values on Data.Medicare.gov
      6. Accessing Supporting Documentation
      7. Explore and View Data in a Browser
    3. Help Videos(external link)
    4. Need More Help? Contact Us!
      1. Contact us with questions about how this site works
      2. Contact us with questions about the data or datasets
  17. About Data.Medicare.gov
    1. About the Compare Websites and Directories
      1. Hospital Compare
      2. Nursing Home Compare
      3. Home Health Compare
      4. Dialysis Facility Compare
      5. Supplier Directory
      6. Medicare’s Helpful Contacts
  18. Hospital Compare Downloadable Database Data Dictionary
    1. Table of Contents
    2. Introduction
    3. Document Purpose
    4. Acronym Index
    5. ​Measure Descriptions and Reporting Cycles
    6. Measure Dates and Collection Periods
    7. File Summary
    8. Downloadable Database Content Summary
      1. General Information
        1. Measure Dates
        2. Footnote Crosswalk
        3. Hospital General Information
        4. Structural Measures (Hospital)
      2. Survey of Patients’ Experiences
        1. HCAHPS (Hospital)
        2. HCAHPS (National)
        3. HCAHPS (State)
      3. Timely and Effective Care
        1. Timely and Effective Care (Hospital)
        2. Timely and Effective Care (National)
        3. Timely and Effective Care (State)
      4. Readmissions, Complications, and Deaths
        1. Readmissions, Complications, and Deaths (Hospital)
        2. Readmissions, Complications, and Deaths (National)
        3. Readmissions, Complications, and Deaths (State)
        4. Healthcare Associated Infections (HAI)
          1. Healthcare Associated Infections (Hospital)
          2. Healthcare Associated Infections (National)
          3. Healthcare Associated Infections (State)
      5. Use of Medical Imaging
        1. Outpatient Imaging Efficiency (Hospital)
        2. Outpatient Imaging Efficiency (National)
        3. Outpatient Imaging Efficiency (State)
      6. Payment and Value of Care
        1. Medicare Spending per Benificiary (MSPB)
          1. MSPB (Hospital)
          2. MSPB (National)
          3. MSPB (State)
          4. MSPB Spending by Claim
        2. Payment for Heart Attack (AMI) Patients
          1. AMI Payment (Hospital)
          2. AMI Payment (National)
          3. AMI Payment (State)
      7. Number of Medicare Patients
        1. Medicare Volume (Hospital)
        2. Medicare Volume (National)
        3. Medicare Volume (State)
        4. Outpatient Volume
      8. Inpatient Psychiatric Facility Quality Reporting (IPFQR) Program
        1. IPFQR (Hospital)
        2. IPFQR (National)
        3. IPFQR (State)
      9. PPS-Exempt Cancer Hospital Quality Reporting (PCHQR) Program
        1. IPFQR (State)
      10. Linking Quality to Payment
        1. Hospital‐Acquired Conditions Reduction Program (HACRP)
          1. HACRP
        2. Hospital Readmission Reduction Program (HRRP)
          1. ​HRRP​
        3. Hospital Value‐Based Purchasing (HVBP) Program
          1. HVBP - AMI
          2. HVBP - HAI
          3. HVBP - HCAHPS
          4. HVBP - HF
          5. HVBP - OUTCOME
          6. HVBP - PN
          7. HVBP - QUARTERS
          8. HVBP - SCIP
          9. HVBP - TPS
        4. HVBP Program Data and Scoring
          1. HVBP - EFFICIENCY
        5. HVBP Program Incentive Payment Adjustments
          1. HVBP FY 2013 Distribution of Net Change
          2. HVBP FY 2013 Incentive Payment
          3. HVBP FY 2013 Net Change
          4. HVBP FY 2013 Percent Change
    9. Appendix A – Hospital Compare Measures
      1. Structural Measures – Hospital.csv
      2. HCAHPS –Hospital.csv
      3. Timely and Effective Care – Hospital.csv
      4. Readmissions Complications and Deaths – Hospital.csv
      5. Outpatient Imaging Efficiency – Hospital.csv
      6. Medicare Hospital Spending per Patient – Hospital.csv
      7. Medicare Volume – Hospital.csv
      8. Outpatient Procedures –Volume.csv
      9. HOSPITAL_QUARTERLY_QUALITYMEASURE_IPFQR_HOSPITAL
      10. HOSPITAL_QUARTERLY_HAC_DOMAIN_HOSPITAL_10_29_2014
      11. READMISSION REDUCTION
      12. HOSPITAL_QUARTERLY_QUALITYMEASURE_PCH_HOSPITAL
      13. Heart Attack Payment - Hospital
      14. HVBP Measures Directory
    10. ​Appendix B – HCAHPS Survey Questions Listing
    11. Appendix C – Footnote Crosswalk
  19. NEXT

Data Science for HealthData.gov Developers

Last modified
Table of contents
  1. Story
  2. Slides
    1. Slide 1 Data Science for HealthData.gov Developers
    2. Slide 2 Overview
    3. Slide 3 HHS IDEA Lab: Innovative Linkages Initiative
    4. Slide 4 U.S. Turns to Private Sector For IT Innovation
    5. Slide 5 HealthData.gov: Dataset Search
    6. Slide 6 HealthData.gov: Dataset Search as Linked Data
    7. Slide 7 HealthData.gov: Excel Datasets as Linked Data
    8. Slide 8 HealthData.gov: Data API
    9. Slide 9 Knowledge Base and Semantic Search: MindTouch
    10. Slide 10 Data Ecosystem (GitHub): MindTouch
    11. Slide 11 Analytics and Visualizations: Spotfire
    12. Slide 12 Results: Conclusions and Next Steps
    13. Slide 13 Big Data: Google Page Rank
    14. Slide 14 Data Science: Questions, Data Mining, Invert Bath Tub, and Digital Government Strategy
    15. Slide 15 Hospital Compare 2014
    16. Slide 16 Hospital Compare 2014: Spotfire Cover Page
    17. Slide 17 Hospital Compare 2014: Spotfire Data Dictionary Tables
    18. Slide 18 Hospital Compare 2014: Spotfire Socrata 2014
    19. Slide 19 Hospital Compare 2014: Spotfire Timely and Effective Care-Hospital 1
    20. Slide 20 Hospital Compare 2014: Spotfire Timely and Effective Care-Hospital 2
  3. Spotfire Dashboard
  4. Research Notes
  5. Press release: CMS creates new chief data officer post
  6. HHS Ignite Winter 2015: Announcing the the 13 Selected Teams
    1. A ‘Prevention Architecture’ for the Second Decade
    2. Building Tech-forecasting into FDA Operations
    3. CDC Epidemic Prediction Initiative
    4. Connecting CHCs to Transportation to Improve Health
    5. Developing a Real-Time EHR Data Collection Process
    6. Dynamic Risk-Informed Inspectional Work Plan
    7. FAST! (FDA Accredited Study Sites)
    8. HRSA Huddles: Improving Collaboration & Engagement
    9. LabGenius: The Smarter Notebook for Scientists
    10. SAMHSA Training Advisor
    11. Simplify Funding Opportunity Announcements
    12. Technology Transfer Invention Portal
    13. Two Clicks Away: Sharing Successful Strategies
  7. Open Letter to all Ignite Applicants: Thanks and Keep Innovating
  8. HealthData.gov Developers
    1. Catalog API
      1. Accessing the Complete Data Catalog Listing
      2. Searching the Data Catalog
      3. Accessing Individual Datasets
        1. JSON
        2. RDF XML and Notation 3 (N3)
      4. JSON Schema
        1. Primary Fields
        2. Extras Fields
        3. Resource Fields
    2. Developer Challenges Overview
      1. Evolving the HealthData.gov Platform (HDP)
        1. Domain Challenges
        2. Platform challenges
    3. Source Code
    4. Clinical Quality Linked Data About US Hospitals
    5. Data API
      1. Examples
        1. TXT4Tots
      2. Hospital Compare
      3. Finding The Data API Resource
      4. Using the Data API
      5. Python Examples
        1. Example 1: Paging Results
        2. Example 2: Full-Text Search
        3. Example 3: Filtering on Field Values
  9. TXT4Tots Message Library - English
    1. Agency and Program Information
    2. For Developers
  10. Hospital Compare - API via CKAN Datastore
    1. Data and Resources
  11. Medicare.gov/HospitalCompare Downloadable Databases
    1. Table of Contents
    2. Document Purpose
    3. Background
    4. Hospital Compare Measures Description/Background and Reporting Cycles
    5. Data Collection Period Information
    6. Hospital Compare Downloadable Database
      1. Access and CSV Downloadable File Contents
        1. Access and CSV Data File Summary
      2. Access and CSV Data Content Summary
        1. dbo_vwHQI_HOSP and HQI_HOSP
        2. vwMeasure_Dates and HQI_HOSP_MSR_DT
        3. dbo_vwHQI_FTNT and HQI_FTNT
        4. vwHQI_HOSP_AHRQ and HQI_HOSP_AHRQ
        5. vwHQI_HOSP_AHRQ and HQI_HOSP_AHRQ
        6. vwHQI_HOSP_AHRQ_STATE and HOSP_AHRQ_STATE
        7. vwHQI_HOSP_AHRQ_NATIONAL and HQI_HOSP_AHRQ_NATIONAL
        8. dbo_vwHQI_HOSP_ED and HQI_HOSP_ED
        9. vwHQI_HOSP_ED_State and HQI_HOSP_ED_State
        10. vwHQI_HOSP_ED_National and HQI_HOSP_ED_US
        11. vwHQI_HOSP_HAC and HQI_HOSP_HAC
        12. vwHQI_HOSP_HAC_NATIONAL and HQI_HOSP_HAC_NATIONAL
        13. vwHQI_HOSP_HAI and  HQI_HOSP_HAI
        14. vwHQI_HOSP_HAI_STATE and HQI_HOSP_HAI_STATE
        15. vwHQI_HOSP_HAI_National and HQI_HOSP_HAI_National
        16. dbo_vwHQI_HOSP_HCAHPS_MSR and HQI_HOSP_HCAHPS_MSR
        17. dbo_vwHQI_STATE_HCAHPS_MSR and HQI_STATE_HCAHPS_MSR
        18. dbo_vwHQI_US_NATIONAL_HCAHPS_MSR and HQI_US_NATIONAL_HCAHPS_MSR
        19. Hvbp_ami _02_07_2013 and hvbp_ami_02_07_2013
        20. Hvbp_hai_02_07_2013 and hvbp_hai_02_07_2013
        21. Hvbp_hcahps_02_07_2013 and hvbp_hcahps_02_07_2013
        22. Hvbp_hf_02_07_2013 and hvbp_hf_02_07_2013
        23. Hvbp_pn_02_07_2013 and hvbp_pn_02_07_2013
        24. Hvbp_scip_02_07_2013 and hvbp_scip_02_07_2013
        25. Hvbp_tps_02_07_2013 and hvbp_tps_02_07_2013
        26. dbo_vwHQI_HOSP_IMG_XWLK and HQI_HOSP_IMG_XWLK
        27. dbo_vwHQI_STATE_IMG_AVG and HQI_STATE_IMG_AVG
        28. dbo_vwHQI_US_NATIONAL_IMG_AVG and HQI_US_NATIONAL_IMG_AVG
        29. dbo_vwHQI_HOSP_IMM and HQI_HOSP_IMM
        30. vwHQI_HOSP_IMM_State and HQI_HOSP_IMM_State
        31. vwHQI_HOSP_IMM_National and HQI_HOSP_IMM_US
        32. dbo_vwHQI_HOSP_MORTALITY_READM_XWLK and HQI_HOSP_MORTALITY_READM_XWLK
        33. dbo_vwHQI_STATE_MORTALITY_READM_SCRE and HQI_STATE_MORTALITY_READM_SCRE
        34. dbo_vwHQI_US_NATIONAL_MORTALITY_READM_RATE and HQI_US_NATIONAL_MORTALITY_READM_RATE
        35. dbo_vwHQI_HOSP_MPV_MSR and HQI_HOSP_MPV_MSR
        36. dbo_vwHQI_STATE_MPV_MSR and HQI_STATE_MPV_MSR
        37. dbo_vwHQI_US_NATIONAL_MPV_MSR and HQI_US_NATIONAL_MPV_MSR
        38. vwHQI_HOSP_SPP and HQI_HOSP_SPP
        39. dbo_vwHQI_HOSP_SPP_State and HQI_HOSP_SPP_State
        40. dbo_vwHQI_HOSP_SPP_National and HQI_HOSP_SPP_National
        41. dbo_vwHQI_HOSP_STRUCTURAL_XWLK and HQI_HOSP_STRUCTURAL_XWLK
        42. vwHQI_READM_REDUCTION and HQI_READM_REDUCTION
        43. dbo_vwHQI_HOSP_MSR_XWLK and HQI_HOSP_MSR_XWLK
        44. dbo_vwHQI_STATE_MSR_AVG and HQI_STATE_MSR_AVG
        45. dbo_vwHQI_US_National_MSR_AVG and HQI_US_National_MSR_AVG
        46. dbo_vwHQI_PCTL_MSR_XWLK and HQI_PCTL_MSR_XWLK
      3. CSV Revised Flat Files and Data.Medicare.gov Data File Summary
      4. CSV Revised Flat Files and Data.Medicare.gov Data Content Summary
        1. Hospital_Data
        2. Measure_Dates
        3. FootNote
        4. Hospital ACS Measures
        5. Agency for Healthcare Research and Quality
        6. Agency for Healthcare Research and Quality - State
        7. Agency for Healthcare Research and Quality - National
        8. Emergency Department Throughput
        9. Emergency Department Throughput - State
        10. Emergency Department Throughput - National
        11. Healthcare_Associated_Infections
        12. Healthcare_Associated_Infections_State
        13. Healthcare_Associated_Infections_National
        14. Hospital Acquired Condition
        15. Hospital Acquired Condition - National
        16. HCAHPS Measures
        17. HCAHPS Measures - State
        18. HCAHPS Measures - National
        19. hvbp_ ami _02_07_2013
        20. hvbp_hai_02_07_2013
        21. hvbp_hcahps_02_07_2013
        22. hvbp_hf_02_07_2013 Hospital
        23. hvbp_pn_02_07_2013
        24. hvbp_scip_02_07_2013
        25. hvbp_ tps _02_07_2013
        26. Immunization
        27. Immunization-State
        28. Immunization-National
        29. Medicare Spending Per Patient
        30. Medicare Spending Per Patient-State
        31. Medicare Spending Per Patient-National
        32. Spending Breakdown By Claim
        33. Medicare Volume Measures
        34. Medicare Volume Measures - State
        35. Medicare Volume Measures - National
        36. Outcome of Care Measure
        37. Outcome of Care Measures - State
        38. Outcome of Care Measures - National
        39. Outpatient Imaging Efficiency Measures
        40. Outpatient Imaging Efficiency Measures - State
        41. Outpatient Imaging Efficiency Measures - National
        42. Process of Care Measures - Children
        43. Process of Care Measures – Heart Attack
        44. Process of Care Measures – Heart Failure
        45. Process of Care Measures – Pneumonia
        46. Process of Care Measures – SCIP
        47. Process of Care Measures – State
        48. Process of Care Measures – National
        49. READMISSION_REDUCTION
        50. Structural Measures
        51. Measure Crosswalk
        52. Hospital Compare - CASPER/ASPEN Contacts
    7. Appendix A – Hospital Compare Measures
      1. Timely and Effective Care
        1. Acute Myocardial Infarction
        2. Heart Failure
        3. Pneumonia
        4. Surgical Care Improvement
        5. Emergency Department
        6. Preventative Care
        7. Children’s Asthma Care
      2. Readmissions, Complications, and Deaths - 30–Day Mortality and Readmissions
      3. AHRQ Patient Safety Indicators (PSIs) and Inpatient Quality Indicators (IQIs)
      4. Hospital-Acquired Conditions (HACs)
      5. Healthcare-Associated Infections (HAIs)
      6. Outpatient Imaging Efficiency
      7. Structural Measures
      8. Number of Medicare Patients and Medicare
      9. Hospital Readmissions Reduction Program
      10. Hospital Value-Based Purchasing
    8. Appendix B – HCAHPS Survey Question Listing
    9. Appendix C – Footnote Crosswalk
  12. Data.Medicare.Gov
  13. Datasets
    1. Hospital Compare Data
      1. Official Hospital Compare Data
      2. Download All Data
      3. Supporting Documentation
      4. Announcements
    2. Nursing Home Compare Data
      1. Official Nursing Home Compare Data
      2. Download All Data
      3. Supporting Documentation
      4. Announcements
    3. Physician Compare Data
      1. Official Physician Compare Data
      2. Download All Data
      3. Supporting Documentation
      4. Announcements
    4. Home Health Compare Data
      1. Official Home Health Compare Data
      2. Download All Data
      3. Supporting Documentation
      4. Announcements
    5. Dialysis Facility Compare Data
      1. Official Dialysis Facility Compare Data
      2. Download All Data
      3. Supporting Documentation
      4. Announcements
    6. Supplier Directory Data
      1. Official Supplier Directory Data
      2. Download All Data
      3. Supporting Documentation
      4. Announcements
    7. Medicare's Helpful Contacts Data
      1. Download All Data
      2. Supporting Documentation
      3. Announcements
  14. Medicare Websites and Directories
    1. Hospital Compare
    2. Nursing Home Care
    3. Physicians Compare
    4. Home Health Care Compare
    5. ​Dialysis Facility Compare
    6. Supplier Directory
    7. Medicare Useful Contacts
  15. Developers
    1. SODA APIs
    2. API Endpoints
    3. Available Data Formats
  16. Help
    1. Get Started
      1. Data.Medicare.gov Getting Started Training
      2. Basic Navigation
      3. Downloading Data
      4. Contact us with questions about the site
    2. Download and View Data
      1. Download Data in Microsoft Access Format
      2. Download Data in a Zipped Archive of CSV Files
      3. Download Data in Other Formats
      4. Downloading CSV Data
      5. Understanding N/A Values on Data.Medicare.gov
      6. Accessing Supporting Documentation
      7. Explore and View Data in a Browser
    3. Help Videos(external link)
    4. Need More Help? Contact Us!
      1. Contact us with questions about how this site works
      2. Contact us with questions about the data or datasets
  17. About Data.Medicare.gov
    1. About the Compare Websites and Directories
      1. Hospital Compare
      2. Nursing Home Compare
      3. Home Health Compare
      4. Dialysis Facility Compare
      5. Supplier Directory
      6. Medicare’s Helpful Contacts
  18. Hospital Compare Downloadable Database Data Dictionary
    1. Table of Contents
    2. Introduction
    3. Document Purpose
    4. Acronym Index
    5. ​Measure Descriptions and Reporting Cycles
    6. Measure Dates and Collection Periods
    7. File Summary
    8. Downloadable Database Content Summary
      1. General Information
        1. Measure Dates
        2. Footnote Crosswalk
        3. Hospital General Information
        4. Structural Measures (Hospital)
      2. Survey of Patients’ Experiences
        1. HCAHPS (Hospital)
        2. HCAHPS (National)
        3. HCAHPS (State)
      3. Timely and Effective Care
        1. Timely and Effective Care (Hospital)
        2. Timely and Effective Care (National)
        3. Timely and Effective Care (State)
      4. Readmissions, Complications, and Deaths
        1. Readmissions, Complications, and Deaths (Hospital)
        2. Readmissions, Complications, and Deaths (National)
        3. Readmissions, Complications, and Deaths (State)
        4. Healthcare Associated Infections (HAI)
          1. Healthcare Associated Infections (Hospital)
          2. Healthcare Associated Infections (National)
          3. Healthcare Associated Infections (State)
      5. Use of Medical Imaging
        1. Outpatient Imaging Efficiency (Hospital)
        2. Outpatient Imaging Efficiency (National)
        3. Outpatient Imaging Efficiency (State)
      6. Payment and Value of Care
        1. Medicare Spending per Benificiary (MSPB)
          1. MSPB (Hospital)
          2. MSPB (National)
          3. MSPB (State)
          4. MSPB Spending by Claim
        2. Payment for Heart Attack (AMI) Patients
          1. AMI Payment (Hospital)
          2. AMI Payment (National)
          3. AMI Payment (State)
      7. Number of Medicare Patients
        1. Medicare Volume (Hospital)
        2. Medicare Volume (National)
        3. Medicare Volume (State)
        4. Outpatient Volume
      8. Inpatient Psychiatric Facility Quality Reporting (IPFQR) Program
        1. IPFQR (Hospital)
        2. IPFQR (National)
        3. IPFQR (State)
      9. PPS-Exempt Cancer Hospital Quality Reporting (PCHQR) Program
        1. IPFQR (State)
      10. Linking Quality to Payment
        1. Hospital‐Acquired Conditions Reduction Program (HACRP)
          1. HACRP
        2. Hospital Readmission Reduction Program (HRRP)
          1. ​HRRP​
        3. Hospital Value‐Based Purchasing (HVBP) Program
          1. HVBP - AMI
          2. HVBP - HAI
          3. HVBP - HCAHPS
          4. HVBP - HF
          5. HVBP - OUTCOME
          6. HVBP - PN
          7. HVBP - QUARTERS
          8. HVBP - SCIP
          9. HVBP - TPS
        4. HVBP Program Data and Scoring
          1. HVBP - EFFICIENCY
        5. HVBP Program Incentive Payment Adjustments
          1. HVBP FY 2013 Distribution of Net Change
          2. HVBP FY 2013 Incentive Payment
          3. HVBP FY 2013 Net Change
          4. HVBP FY 2013 Percent Change
    9. Appendix A – Hospital Compare Measures
      1. Structural Measures – Hospital.csv
      2. HCAHPS –Hospital.csv
      3. Timely and Effective Care – Hospital.csv
      4. Readmissions Complications and Deaths – Hospital.csv
      5. Outpatient Imaging Efficiency – Hospital.csv
      6. Medicare Hospital Spending per Patient – Hospital.csv
      7. Medicare Volume – Hospital.csv
      8. Outpatient Procedures –Volume.csv
      9. HOSPITAL_QUARTERLY_QUALITYMEASURE_IPFQR_HOSPITAL
      10. HOSPITAL_QUARTERLY_HAC_DOMAIN_HOSPITAL_10_29_2014
      11. READMISSION REDUCTION
      12. HOSPITAL_QUARTERLY_QUALITYMEASURE_PCH_HOSPITAL
      13. Heart Attack Payment - Hospital
      14. HVBP Measures Directory
    10. ​Appendix B – HCAHPS Survey Questions Listing
    11. Appendix C – Footnote Crosswalk
  19. NEXT

  1. Story
  2. Slides
    1. Slide 1 Data Science for HealthData.gov Developers
    2. Slide 2 Overview
    3. Slide 3 HHS IDEA Lab: Innovative Linkages Initiative
    4. Slide 4 U.S. Turns to Private Sector For IT Innovation
    5. Slide 5 HealthData.gov: Dataset Search
    6. Slide 6 HealthData.gov: Dataset Search as Linked Data
    7. Slide 7 HealthData.gov: Excel Datasets as Linked Data
    8. Slide 8 HealthData.gov: Data API
    9. Slide 9 Knowledge Base and Semantic Search: MindTouch
    10. Slide 10 Data Ecosystem (GitHub): MindTouch
    11. Slide 11 Analytics and Visualizations: Spotfire
    12. Slide 12 Results: Conclusions and Next Steps
    13. Slide 13 Big Data: Google Page Rank
    14. Slide 14 Data Science: Questions, Data Mining, Invert Bath Tub, and Digital Government Strategy
    15. Slide 15 Hospital Compare 2014
    16. Slide 16 Hospital Compare 2014: Spotfire Cover Page
    17. Slide 17 Hospital Compare 2014: Spotfire Data Dictionary Tables
    18. Slide 18 Hospital Compare 2014: Spotfire Socrata 2014
    19. Slide 19 Hospital Compare 2014: Spotfire Timely and Effective Care-Hospital 1
    20. Slide 20 Hospital Compare 2014: Spotfire Timely and Effective Care-Hospital 2
  3. Spotfire Dashboard
  4. Research Notes
  5. Press release: CMS creates new chief data officer post
  6. HHS Ignite Winter 2015: Announcing the the 13 Selected Teams
    1. A ‘Prevention Architecture’ for the Second Decade
    2. Building Tech-forecasting into FDA Operations
    3. CDC Epidemic Prediction Initiative
    4. Connecting CHCs to Transportation to Improve Health
    5. Developing a Real-Time EHR Data Collection Process
    6. Dynamic Risk-Informed Inspectional Work Plan
    7. FAST! (FDA Accredited Study Sites)
    8. HRSA Huddles: Improving Collaboration & Engagement
    9. LabGenius: The Smarter Notebook for Scientists
    10. SAMHSA Training Advisor
    11. Simplify Funding Opportunity Announcements
    12. Technology Transfer Invention Portal
    13. Two Clicks Away: Sharing Successful Strategies
  7. Open Letter to all Ignite Applicants: Thanks and Keep Innovating
  8. HealthData.gov Developers
    1. Catalog API
      1. Accessing the Complete Data Catalog Listing
      2. Searching the Data Catalog
      3. Accessing Individual Datasets
        1. JSON
        2. RDF XML and Notation 3 (N3)
      4. JSON Schema
        1. Primary Fields
        2. Extras Fields
        3. Resource Fields
    2. Developer Challenges Overview
      1. Evolving the HealthData.gov Platform (HDP)
        1. Domain Challenges
        2. Platform challenges
    3. Source Code
    4. Clinical Quality Linked Data About US Hospitals
    5. Data API
      1. Examples
        1. TXT4Tots
      2. Hospital Compare
      3. Finding The Data API Resource
      4. Using the Data API
      5. Python Examples
        1. Example 1: Paging Results
        2. Example 2: Full-Text Search
        3. Example 3: Filtering on Field Values
  9. TXT4Tots Message Library - English
    1. Agency and Program Information
    2. For Developers
  10. Hospital Compare - API via CKAN Datastore
    1. Data and Resources
  11. Medicare.gov/HospitalCompare Downloadable Databases
    1. Table of Contents
    2. Document Purpose
    3. Background
    4. Hospital Compare Measures Description/Background and Reporting Cycles
    5. Data Collection Period Information
    6. Hospital Compare Downloadable Database
      1. Access and CSV Downloadable File Contents
        1. Access and CSV Data File Summary
      2. Access and CSV Data Content Summary
        1. dbo_vwHQI_HOSP and HQI_HOSP
        2. vwMeasure_Dates and HQI_HOSP_MSR_DT
        3. dbo_vwHQI_FTNT and HQI_FTNT
        4. vwHQI_HOSP_AHRQ and HQI_HOSP_AHRQ
        5. vwHQI_HOSP_AHRQ and HQI_HOSP_AHRQ
        6. vwHQI_HOSP_AHRQ_STATE and HOSP_AHRQ_STATE
        7. vwHQI_HOSP_AHRQ_NATIONAL and HQI_HOSP_AHRQ_NATIONAL
        8. dbo_vwHQI_HOSP_ED and HQI_HOSP_ED
        9. vwHQI_HOSP_ED_State and HQI_HOSP_ED_State
        10. vwHQI_HOSP_ED_National and HQI_HOSP_ED_US
        11. vwHQI_HOSP_HAC and HQI_HOSP_HAC
        12. vwHQI_HOSP_HAC_NATIONAL and HQI_HOSP_HAC_NATIONAL
        13. vwHQI_HOSP_HAI and  HQI_HOSP_HAI
        14. vwHQI_HOSP_HAI_STATE and HQI_HOSP_HAI_STATE
        15. vwHQI_HOSP_HAI_National and HQI_HOSP_HAI_National
        16. dbo_vwHQI_HOSP_HCAHPS_MSR and HQI_HOSP_HCAHPS_MSR
        17. dbo_vwHQI_STATE_HCAHPS_MSR and HQI_STATE_HCAHPS_MSR
        18. dbo_vwHQI_US_NATIONAL_HCAHPS_MSR and HQI_US_NATIONAL_HCAHPS_MSR
        19. Hvbp_ami _02_07_2013 and hvbp_ami_02_07_2013
        20. Hvbp_hai_02_07_2013 and hvbp_hai_02_07_2013
        21. Hvbp_hcahps_02_07_2013 and hvbp_hcahps_02_07_2013
        22. Hvbp_hf_02_07_2013 and hvbp_hf_02_07_2013
        23. Hvbp_pn_02_07_2013 and hvbp_pn_02_07_2013
        24. Hvbp_scip_02_07_2013 and hvbp_scip_02_07_2013
        25. Hvbp_tps_02_07_2013 and hvbp_tps_02_07_2013
        26. dbo_vwHQI_HOSP_IMG_XWLK and HQI_HOSP_IMG_XWLK
        27. dbo_vwHQI_STATE_IMG_AVG and HQI_STATE_IMG_AVG
        28. dbo_vwHQI_US_NATIONAL_IMG_AVG and HQI_US_NATIONAL_IMG_AVG
        29. dbo_vwHQI_HOSP_IMM and HQI_HOSP_IMM
        30. vwHQI_HOSP_IMM_State and HQI_HOSP_IMM_State
        31. vwHQI_HOSP_IMM_National and HQI_HOSP_IMM_US
        32. dbo_vwHQI_HOSP_MORTALITY_READM_XWLK and HQI_HOSP_MORTALITY_READM_XWLK
        33. dbo_vwHQI_STATE_MORTALITY_READM_SCRE and HQI_STATE_MORTALITY_READM_SCRE
        34. dbo_vwHQI_US_NATIONAL_MORTALITY_READM_RATE and HQI_US_NATIONAL_MORTALITY_READM_RATE
        35. dbo_vwHQI_HOSP_MPV_MSR and HQI_HOSP_MPV_MSR
        36. dbo_vwHQI_STATE_MPV_MSR and HQI_STATE_MPV_MSR
        37. dbo_vwHQI_US_NATIONAL_MPV_MSR and HQI_US_NATIONAL_MPV_MSR
        38. vwHQI_HOSP_SPP and HQI_HOSP_SPP
        39. dbo_vwHQI_HOSP_SPP_State and HQI_HOSP_SPP_State
        40. dbo_vwHQI_HOSP_SPP_National and HQI_HOSP_SPP_National
        41. dbo_vwHQI_HOSP_STRUCTURAL_XWLK and HQI_HOSP_STRUCTURAL_XWLK
        42. vwHQI_READM_REDUCTION and HQI_READM_REDUCTION
        43. dbo_vwHQI_HOSP_MSR_XWLK and HQI_HOSP_MSR_XWLK
        44. dbo_vwHQI_STATE_MSR_AVG and HQI_STATE_MSR_AVG
        45. dbo_vwHQI_US_National_MSR_AVG and HQI_US_National_MSR_AVG
        46. dbo_vwHQI_PCTL_MSR_XWLK and HQI_PCTL_MSR_XWLK
      3. CSV Revised Flat Files and Data.Medicare.gov Data File Summary
      4. CSV Revised Flat Files and Data.Medicare.gov Data Content Summary
        1. Hospital_Data
        2. Measure_Dates
        3. FootNote
        4. Hospital ACS Measures
        5. Agency for Healthcare Research and Quality
        6. Agency for Healthcare Research and Quality - State
        7. Agency for Healthcare Research and Quality - National
        8. Emergency Department Throughput
        9. Emergency Department Throughput - State
        10. Emergency Department Throughput - National
        11. Healthcare_Associated_Infections
        12. Healthcare_Associated_Infections_State
        13. Healthcare_Associated_Infections_National
        14. Hospital Acquired Condition
        15. Hospital Acquired Condition - National
        16. HCAHPS Measures
        17. HCAHPS Measures - State
        18. HCAHPS Measures - National
        19. hvbp_ ami _02_07_2013
        20. hvbp_hai_02_07_2013
        21. hvbp_hcahps_02_07_2013
        22. hvbp_hf_02_07_2013 Hospital
        23. hvbp_pn_02_07_2013
        24. hvbp_scip_02_07_2013
        25. hvbp_ tps _02_07_2013
        26. Immunization
        27. Immunization-State
        28. Immunization-National
        29. Medicare Spending Per Patient
        30. Medicare Spending Per Patient-State
        31. Medicare Spending Per Patient-National
        32. Spending Breakdown By Claim
        33. Medicare Volume Measures
        34. Medicare Volume Measures - State
        35. Medicare Volume Measures - National
        36. Outcome of Care Measure
        37. Outcome of Care Measures - State
        38. Outcome of Care Measures - National
        39. Outpatient Imaging Efficiency Measures
        40. Outpatient Imaging Efficiency Measures - State
        41. Outpatient Imaging Efficiency Measures - National
        42. Process of Care Measures - Children
        43. Process of Care Measures – Heart Attack
        44. Process of Care Measures – Heart Failure
        45. Process of Care Measures – Pneumonia
        46. Process of Care Measures – SCIP
        47. Process of Care Measures – State
        48. Process of Care Measures – National
        49. READMISSION_REDUCTION
        50. Structural Measures
        51. Measure Crosswalk
        52. Hospital Compare - CASPER/ASPEN Contacts
    7. Appendix A – Hospital Compare Measures
      1. Timely and Effective Care
        1. Acute Myocardial Infarction
        2. Heart Failure
        3. Pneumonia
        4. Surgical Care Improvement
        5. Emergency Department
        6. Preventative Care
        7. Children’s Asthma Care
      2. Readmissions, Complications, and Deaths - 30–Day Mortality and Readmissions
      3. AHRQ Patient Safety Indicators (PSIs) and Inpatient Quality Indicators (IQIs)
      4. Hospital-Acquired Conditions (HACs)
      5. Healthcare-Associated Infections (HAIs)
      6. Outpatient Imaging Efficiency
      7. Structural Measures
      8. Number of Medicare Patients and Medicare
      9. Hospital Readmissions Reduction Program
      10. Hospital Value-Based Purchasing
    8. Appendix B – HCAHPS Survey Question Listing
    9. Appendix C – Footnote Crosswalk
  12. Data.Medicare.Gov
  13. Datasets
    1. Hospital Compare Data
      1. Official Hospital Compare Data
      2. Download All Data
      3. Supporting Documentation
      4. Announcements
    2. Nursing Home Compare Data
      1. Official Nursing Home Compare Data
      2. Download All Data
      3. Supporting Documentation
      4. Announcements
    3. Physician Compare Data
      1. Official Physician Compare Data
      2. Download All Data
      3. Supporting Documentation
      4. Announcements
    4. Home Health Compare Data
      1. Official Home Health Compare Data
      2. Download All Data
      3. Supporting Documentation
      4. Announcements
    5. Dialysis Facility Compare Data
      1. Official Dialysis Facility Compare Data
      2. Download All Data
      3. Supporting Documentation
      4. Announcements
    6. Supplier Directory Data
      1. Official Supplier Directory Data
      2. Download All Data
      3. Supporting Documentation
      4. Announcements
    7. Medicare's Helpful Contacts Data
      1. Download All Data
      2. Supporting Documentation
      3. Announcements
  14. Medicare Websites and Directories
    1. Hospital Compare
    2. Nursing Home Care
    3. Physicians Compare
    4. Home Health Care Compare
    5. ​Dialysis Facility Compare
    6. Supplier Directory
    7. Medicare Useful Contacts
  15. Developers
    1. SODA APIs
    2. API Endpoints
    3. Available Data Formats
  16. Help
    1. Get Started
      1. Data.Medicare.gov Getting Started Training
      2. Basic Navigation
      3. Downloading Data
      4. Contact us with questions about the site
    2. Download and View Data
      1. Download Data in Microsoft Access Format
      2. Download Data in a Zipped Archive of CSV Files
      3. Download Data in Other Formats
      4. Downloading CSV Data
      5. Understanding N/A Values on Data.Medicare.gov
      6. Accessing Supporting Documentation
      7. Explore and View Data in a Browser
    3. Help Videos(external link)
    4. Need More Help? Contact Us!
      1. Contact us with questions about how this site works
      2. Contact us with questions about the data or datasets
  17. About Data.Medicare.gov
    1. About the Compare Websites and Directories
      1. Hospital Compare
      2. Nursing Home Compare
      3. Home Health Compare
      4. Dialysis Facility Compare
      5. Supplier Directory
      6. Medicare’s Helpful Contacts
  18. Hospital Compare Downloadable Database Data Dictionary
    1. Table of Contents
    2. Introduction
    3. Document Purpose
    4. Acronym Index
    5. ​Measure Descriptions and Reporting Cycles
    6. Measure Dates and Collection Periods
    7. File Summary
    8. Downloadable Database Content Summary
      1. General Information
        1. Measure Dates
        2. Footnote Crosswalk
        3. Hospital General Information
        4. Structural Measures (Hospital)
      2. Survey of Patients’ Experiences
        1. HCAHPS (Hospital)
        2. HCAHPS (National)
        3. HCAHPS (State)
      3. Timely and Effective Care
        1. Timely and Effective Care (Hospital)
        2. Timely and Effective Care (National)
        3. Timely and Effective Care (State)
      4. Readmissions, Complications, and Deaths
        1. Readmissions, Complications, and Deaths (Hospital)
        2. Readmissions, Complications, and Deaths (National)
        3. Readmissions, Complications, and Deaths (State)
        4. Healthcare Associated Infections (HAI)
          1. Healthcare Associated Infections (Hospital)
          2. Healthcare Associated Infections (National)
          3. Healthcare Associated Infections (State)
      5. Use of Medical Imaging
        1. Outpatient Imaging Efficiency (Hospital)
        2. Outpatient Imaging Efficiency (National)
        3. Outpatient Imaging Efficiency (State)
      6. Payment and Value of Care
        1. Medicare Spending per Benificiary (MSPB)
          1. MSPB (Hospital)
          2. MSPB (National)
          3. MSPB (State)
          4. MSPB Spending by Claim
        2. Payment for Heart Attack (AMI) Patients
          1. AMI Payment (Hospital)
          2. AMI Payment (National)
          3. AMI Payment (State)
      7. Number of Medicare Patients
        1. Medicare Volume (Hospital)
        2. Medicare Volume (National)
        3. Medicare Volume (State)
        4. Outpatient Volume
      8. Inpatient Psychiatric Facility Quality Reporting (IPFQR) Program
        1. IPFQR (Hospital)
        2. IPFQR (National)
        3. IPFQR (State)
      9. PPS-Exempt Cancer Hospital Quality Reporting (PCHQR) Program
        1. IPFQR (State)
      10. Linking Quality to Payment
        1. Hospital‐Acquired Conditions Reduction Program (HACRP)
          1. HACRP
        2. Hospital Readmission Reduction Program (HRRP)
          1. ​HRRP​
        3. Hospital Value‐Based Purchasing (HVBP) Program
          1. HVBP - AMI
          2. HVBP - HAI
          3. HVBP - HCAHPS
          4. HVBP - HF
          5. HVBP - OUTCOME
          6. HVBP - PN
          7. HVBP - QUARTERS
          8. HVBP - SCIP
          9. HVBP - TPS
        4. HVBP Program Data and Scoring
          1. HVBP - EFFICIENCY
        5. HVBP Program Incentive Payment Adjustments
          1. HVBP FY 2013 Distribution of Net Change
          2. HVBP FY 2013 Incentive Payment
          3. HVBP FY 2013 Net Change
          4. HVBP FY 2013 Percent Change
    9. Appendix A – Hospital Compare Measures
      1. Structural Measures – Hospital.csv
      2. HCAHPS –Hospital.csv
      3. Timely and Effective Care – Hospital.csv
      4. Readmissions Complications and Deaths – Hospital.csv
      5. Outpatient Imaging Efficiency – Hospital.csv
      6. Medicare Hospital Spending per Patient – Hospital.csv
      7. Medicare Volume – Hospital.csv
      8. Outpatient Procedures –Volume.csv
      9. HOSPITAL_QUARTERLY_QUALITYMEASURE_IPFQR_HOSPITAL
      10. HOSPITAL_QUARTERLY_HAC_DOMAIN_HOSPITAL_10_29_2014
      11. READMISSION REDUCTION
      12. HOSPITAL_QUARTERLY_QUALITYMEASURE_PCH_HOSPITAL
      13. Heart Attack Payment - Hospital
      14. HVBP Measures Directory
    10. ​Appendix B – HCAHPS Survey Questions Listing
    11. Appendix C – Footnote Crosswalk
  19. NEXT

Story

Data Science for HealthData.gov Developers

David Portnoy, HHS IDEA Lab External Entrepreneur (see Washington Post Article: U.S. Turns to Private Sector), responsible for the "Linkages" project, asked me a series of questions to help him with his new project. He thought I have some interesting subject matter expertise that might be relevant to his efforts and hopefully vice versa. He asked if I had done some data profiling and analysis on healthdata.gov or was it data.gov? I said yes and many others.

Coincidentally, Brian Robinson, GCN Contributing Editor, interviewed me for a story.on the use and application of Big Data in health and medicine, focusing on what the various agencies such as HHS, VHA etc. are doing and what it means for them. He also trying to get a handle on what some of the issues and challenges government organizations face overall in getting to grips with Big Data. I had the interview and used the content and results from this story.

I gave the HHS Idea Lab folks (Sivak, Davis, and Portnoy) the following information:

The results of the data mining and ecosystem building are in the MindTouch Knowledge Base and Excel Spreadsheet. The process and workflow is described in the Slides below. The Spotfire Analytics and Visualizations are in process using the 7 tabs in the Spreadsheet and potentially some large CSV/XLS files of 72 MB and 105 MB , respectively. Preference was given to Excel, CSV, and high-granularity geospatial data sets identified from the mining and profiling.

The Federal Big Data Working Group Meetup defines big data as treating all your content as data, so in this application the structured data was Excel/CSV, including spatial data like SHP files and Open Street Map, and the unstructured data was web pages and PDF files with structure added with well-defined URLs in MindTouch, all to form a Knowledge Base Index that was in table/relational and triple/RDF formats in a spreadsheet for content analytics in Spotfire.

Some highlights of the Spotfire work are:

  • Cover Page - content analytics and visualizations for Knowledge Base (PDF dominates)
  • HealthData.gov Data - dataset analytics and visualizations for profiling (Excel and Geography data sets)
  • Meaningful Use - dataset analytics and visualizations for certified products (by state and year)
  • Head Start - dataset analytics and visualizations (see many errors in spatial locations)
  • HealthData.gov API - dataset analytics and visualizations for two featured datasets (they do not link)
  • Ignite Reviewers Inputs - dataset analytics and visualizations for Ignite Proposals (see how to pick the winners)

Results: Conclusions and Next Steps

  • I applied for HHS IDEA Lab Innovative Linkages Initiative Entrepreneurship because I have been recognized for innovation in big semantic web linked data applications as a government employee and private sector data scientist.
  • David Portnoy, HHS IDEA Lab Linkages Initiative External Entrepreneur, asked for my advice, and Brian Robinson, GCN Contributing Editor, interviewed me for a story on the use and application of Big Data in health and medicine at HHS, VHA, etc.
  • The HealthData.gov Dataset Search can be in Linked Data format and be used to prioritize datasets for linkages in analytics and visualizations in the semantic technologies used by Semantic Community.
  • The HealthData.gov Data API is of limited value because it provides only two data sets: TXT4Tots Message Library and Hospital Compare that cannot be linked.
  • I will continue to drill down and prioritize HealthData.gov data sets and look for other data sets that can be linked to add value and new insights.
  • The next two slides provide a broader perspective of the data science/data journalism work of the Semantic Community.

This is another Data Science Publication in a Data Browser for senior government officials.

Some Notes:

  • The options for other data formats at: http://www.healthdata.gov/dataset do not always work
  • The Jason file for the entire catalog is not useful, but what is is the statistics on data set properties for prioritizing analytics and visualizations.
  • The CKAN Drupal pages are sometimes difficult to copy cleanly.
  • Medicare.gov/HospitalCompare Downloadable Databases PDF Document says: The purpose of this document is to identify the requirements for maintenance and support of the Hospital Compare Downloadable Databases, which can be found by clicking the following links: http://www.medicare.gov/download/downloaddb.asp and https://data.medicare.gov. The data is displayed on the Hospital Compare Web site and can include additional information about hospital performance that may not be publicly reported on the Web site. My Comment: But these links provide a different set of web pages and data delivery than HealthData.gov which is both confusing and potentially more useful. Is the lesson here to go to the original source of each data set? Yes, because in this case the Web pages and PDF were more recent!
  • Nursing Home Compare Documentation is the only Data Dictionary in Excel Format! Auditing web pages is a valuable way to find needles in a haystack.

So that is what I am going to do next staring at https://data.medicare.gov and  http://www.medicare.gov/download/downloaddb.asp

So one can click around to may Web pages and PDF files trying to understand many data sets and individual data sets and end up constructing their own HealthData.gov and HospitalCompareData.gov to understand them and explain them to others. This is what I end up doing over and over, so why should I be surprised!

The data inventory should link to the data element dictionary for each data set. Spotfire provides a data ecosystem of all the data elements in all the data tables that are imported into Spotfire which is useful for data element harmonization and integration. These are the goals and objectives of the next step here. The Hospital Compare Linked Data Dictionary is at: Access and CSV Data Content Summary in the Medicare.gov/HospitalCompare Downloadable Databases (a PDF file that has been converted to a structured document for this purpose). Being able to go from PDF (especially tables) to MindTouch to Excel to Spofire is essential for producing data publications.

I have successfully imported all 45 2013 Hospital Compare CSV files into Spotfire so they can be analyzed individually and collectively.

However, I discovered that Hospital Compare 2014 is available at Data.Medicare.gov and is significantly different from Hospital Compare 2013. The results for Hospital Compare 2014 are summarized in the text and slides below:

  • Hospital Compare 2013 at HealthData.gov
  • Hospital Compare 2014 at Data.Medicare.gov
  • 2014 Download Files (243 MB) More than Twice the Size of 2013 Files (105 MB)
  • 2014 Data Dictionary (59 Page PDF) Smaller Than 2013 Data Dictionary (80 Page PDF)
  • Need Data Dictionaries and Data Set Characteristics in Excel with Links to Data Sets to “Automate Data Science” in Spotfire with Exploratory Data Analysis
  • Spotfire 2.0 Cloud Automates Data Dictionary and Data Ecosystem Process
  • Spotfire is More Versatile for Data Science Than Socrata

MORE TO FOLLOW

Slides

Slides

Slide 2 Overview

BrandNiemann12202014Slide2.PNG

Slide 4 U.S. Turns to Private Sector For IT Innovation

http://david.portnoy.us/government-t...re-innovation/

BrandNiemann12202014Slide4.PNG

Slide 5 HealthData.gov: Dataset Search

http://www.healthdata.gov/dataset/search

BrandNiemann12202014Slide5.PNG

Slide 6 HealthData.gov: Dataset Search as Linked Data

http://semanticommunity.info/@api/de...?origin=mt-web

BrandNiemann12202014Slide6.PNG

Slide 7 HealthData.gov: Excel Datasets as Linked Data

http://semanticommunity.info/@api/de...?origin=mt-web

BrandNiemann12202014Slide7.PNG

Slide 8 HealthData.gov: Data API

http://www.healthdata.gov/data-api

BrandNiemann12202014Slide8.PNG

Slide 9 Knowledge Base and Semantic Search: MindTouch

Data Science for HealthData.gov Developers

BrandNiemann12202014Slide9.PNG

Slide 10 Data Ecosystem (GitHub): MindTouch

Data Science for HealthData.gov Developers

BrandNiemann12202014Slide10.PNG

Slide 11 Analytics and Visualizations: Spotfire

Web Player

BrandNiemann12202014Slide11.PNG

Slide 12 Results: Conclusions and Next Steps

BrandNiemann12202014Slide12.PNG

Slide 13 Big Data: Google Page Rank

http://en.wikipedia.org/wiki/PageRank

BrandNiemann12202014Slide13.PNG

Slide 14 Data Science: Questions, Data Mining, Invert Bath Tub, and Digital Government Strategy

BrandNiemann12202014Slide14.PNG

Slide 15 Hospital Compare 2014

BrandNiemann12202014Slide15.png

Slide 16 Hospital Compare 2014: Spotfire Cover Page

BrandNiemann12202014Slide16.png

Slide 17 Hospital Compare 2014: Spotfire Data Dictionary Tables

BrandNiemann12202014Slide17.png

Slide 18 Hospital Compare 2014: Spotfire Socrata 2014

BrandNiemann12202014Slide18.png

Slide 19 Hospital Compare 2014: Spotfire Timely and Effective Care-Hospital 1

BrandNiemann12202014Slide19.png

Slide 20 Hospital Compare 2014: Spotfire Timely and Effective Care-Hospital 2

BrandNiemann12202014Slide20.png

Spotfire Dashboard

For Internet Explorer Users and Those Wanting Full Screen Display Use: Web Player Get Spotfire for iPad App

Error: Embedded data could not be displayed. Use Google Chrome

 

For Internet Explorer Users and Those Wanting Full Screen Display Use: Web Player Get Spotfire for iPad App

Error: Embedded data could not be displayed. Use Google Chrome

 

For Internet Explorer Users and Those Wanting Full Screen Display Use: Web Player Get Spotfire for iPad App

Error: Embedded data could not be displayed. Use Google Chrome

Research Notes

So we are doing another Meetup: Government Technology & Innovation Incubator for Big Data Analytics

http://www.meetup.com/Virginia-Big-Data-Meetup/events/219296442/

as a follow-on to our recent Meetup: Data Science, Data Infrastructure, & Data Publications for the HHS IDEA Lab

http://www.meetup.com/Federal-Big-Data-Working-Group/events/210542792/

because we think the Profit (Marcus Lemonis) and Data Enterprises is better than the HHS Idea Lab Shark Tank approach to this:

http://semanticommunity.info/

I am going to start mining the following:

http://www.hhs.gov/idealab/2014/12/08/hhs-ignite-winter-2015-announcing-the-the-13-selected-teams/

http://www.hhs.gov/idealab/2014/12/08/open-letter-to-ignite-applicants/

for data sets that could be used.

And mining:

http://www.healthdata.gov/catalog-api

Why can’t this be a spreadsheet?

http://www.healthdata.gov/developer-challenges-overview

I can do The Faceted Browsing and Visualization platform challenge with Spotfire!

http://www.healthdata.gov/source-code

The source code for MindTouch is available and is better than the CKAN module for Drupal

http://www.healthdata.gov/cqld

This is a good challenge to do this with data science

http://www.healthdata.gov/data-api

As one of the responses to the National Big Data R and D Initiative says:

In short, from our perspective as users, any national big data framework must focus on providing seamless access to data and analysis capabilities that do not require a computer science degree to utilize. At the same time, the tools and methods to tackle these issues cannot be developed independently of users - history is littered with examples of data processing software that failed because users were never brought in as active participants in the process and consequently either did not meet users' needs, or were so clunky and counterintuitive so as to effectively not exist. Instead any national big data framework must foster active engagement of users at all stages of tool development, while at the same time providing the necessary funding and stewardship for the maintenance of the tools so they can be used without distraction to tackle the grand challenges in health, science, and education.

It should be easier to get these data than APIs.

Press release: CMS creates new chief data officer post

Source: http://www.cms.gov/Newsroom/MediaRel...014-11-19.html

Date
2014-11-19
Title
CMS creates new chief data officer post
For Immediate Release
Wednesday, November 19, 2014
Contact
press@cms.hhs.gov

CMS creates new chief data officer post

The Centers for Medicare & Medicaid Services (CMS) today announced the formation of the Office of Enterprise Data and Analytics (OEDA) which will be led by Niall Brennan, the agency’s first Chief Data Officer (CDO), and tasked with overseeing improvements in data collection and dissemination as the agency strives to be more transparent. OEDA will help CMS better harness its vast data resources to guide decision-making and develop frameworks promoting appropriate external access to and use of data to drive higher quality, patient-centered care at a lower cost.

CMS collects a wealth of data that is critical to decision making for the agency and other stakeholders in the nation’s health care system. CMS generates data administering the Medicare, Medicaid and CHIP programs. In addition, new responsibilities, including stewardship of the EHR Incentive Programs, more expansive quality measurement programs, and the establishment of the Health Insurance Marketplaces, have expanded the scope of data that CMS collects. As CMS works to shift the focus from volume of services to better health outcomes for patients, coordinating care, and spending dollars more wisely, the need for CMS to analyze data across its multiple programs and provide greater access to this data, whether in granular or aggregate form, will only intensify.

“It’s clear how much data transparency will help the country improve outcomes, control costs and aid consumer decision making,” said CMS Principal Deputy Administrator Andy Slavitt. “This appointment signals to the industry that there is no turning back from the health care data agenda. Niall Brennan will help make sure CMS leads the way.”

The creation of this new post and the data and analytics office  builds on the steps CMS has taken in recent years to better harness its data resources both internally and externally. CMS is now routinely analyzing claims data in real time and applying predictive analytics to proactively identify fraud and abuse and track key metrics such as hospital readmissions. Accountable Care Organizations and State Medicaid agencies receive monthly near real-time feeds of Medicare data to support care coordination. CMS has launched the Virtual Research Data Center to facilitate lower cost access to CMS data for researchers and federal grantees. CMS has also released numerous public use datasets; the most notable releases to date include the release of data on hospital charges and physician utilization in 2013 and 2014.

“Our commitment to transparency is matched by our commitment to keeping personal information safeguarded. We can't expect to advance health outcomes unless we also ensure that our policies and practices around data privacy are leading the way,” said Slavitt. “We look forward to building on the success of recent releases, providing a clearer picture of the health care delivery system.”

HHS Ignite Winter 2015: Announcing the the 13 Selected Teams

Source: http://www.hhs.gov/idealab/2014/12/0...elected-teams/

My Note: See what dataset (s) these projects will use or generate and what linkages are possible

December 8, 2014

Bryan Sivak joined HHS as the Chief Technology Officer and Entrepreneur-in-Residence for the Department in July 2012. In this role, he is responsible for helping HHS leadership harness the power of data, technology, and innovation to improve the health and welfare of the nation.

Ignite is our internal accelerator for Department staff who want to test out new ways of improve the way their office, agency, and indeed the entire Department operates. Learn more about the HHS Ignite Accelerator here.

In October, employees from across HHS had the opportunity to submit to our HHS Ignite Accelerator their ideas on how to make HHS a more modern and effective organization. In a previous post, we mentioned that we received 72 proposals which were reviewed and culled down to 28 finalists.

After an extensive review process, we are now excited to announce that 13 project teams have been selected into the Winter 2015 Class of Ignite!

Below you’ll find information on these selected teams with a summary of their problem statement and proposed project. Beginning in January, these teams will embark on a 3 month journey where they will be challenged to dive into the problems, better understand their customers, and beta-test solutions to some of the biggest challenges within HHS.

Join me in congratulating these teams!

A ‘Prevention Architecture’ for the Second Decade

The second decade of life – years 10-19 – is a critical period in an individual’s growth and development. During these years, health-promoting or health damaging actions begin to become established behaviors, influencing health throughout life. Yet there has never been a comprehensive “prevention architecture” to help guide local leaders in building a community environment that promotes health and healthy development among persons 10-19 years of age. This team proposes to begin exploring this prevention architecture with community leaders, building on the high-level findings of the 2012 Second Decade Summit.

The Team:

  • Patrick O’Carroll (Project Lead), HHS Seattle Region
  • Evelyn M. Kappeler, HHS Office of Adolescent Health

Project Lead’s Approving Supervisor:

  • Wanda Jones, HHS Principal Deputy Assistant Secretary for Health

Building Tech-forecasting into FDA Operations

The FDA is tasked by Congress to regulate a high-tech industry. But new technologies present disruptive paradigms that strain regulatory science and policies. Industry needs consistent and science-based information from the FDA so as to provide a stable framework for the marketplace. In response to this, the Center for Devices and Radiological Health (CDRH) within the FDA will soon be interfacing with an initiative to better anticipate the impacts of future cutting edge technologies. This team proposes to formulate an internal business process to operationalize the findings from this initiative in order to support business decision making.

The Team:

  • James Coburn (Project Lead), FDA/CDRH
  • Jessica Hernandez, FDA/CDRH
  • Jennifer Kelly, FDA/CDRH
  • David Hwang, FDA/CDRH
  • Kathryn O’Callaghan, FDA/CDRH

Project Lead’s Approving Supervisor:

  • Victor Krauthamer, Division Director, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration

CDC Epidemic Prediction Initiative

Preparing for and responding appropriately to epidemics is a critical function of the CDC and public health experts in academia and local governments across the world. The effectiveness of public health actions is greatest when risks can be anticipated, but predicting epidemics is challenging. To foster and accelerate epidemic forecasting for public health decision making, this team proposes an open-access web portal that publishes disease forecasts and provides a platform for forecast development and evaluation.

The Team:

  • Michael Johansson (Project Lead), CDC/NCEZID
  • Matthew Biggerstaff, CDC/NCIRD

Project Lead’s Approving Supervisor:

  • Hal Margolis, Branch Chief, Dengue Branch, Division of Vector-Borne Diseases, National Center for Emerging and Zoonotic Infectious Diseases, CDC

Connecting CHCs to Transportation to Improve Health

Obtaining regular health care screenings and exams and following-up on prescribed treatment regimens is critical to and avoiding costly hospital admissions/readmissions. However, lack of reliable transportation is often a key factor in many missed medical appointments, including those at federally funded Community Health Centers (CHCs) and particularly among older patients. Building off of an initiative at Veterans Affairs, this cross-federal team proposes a “mobility management model” to help connect local transportation options with Community Health Centers providing care for elderly patients who may lack access to transportation.

The Team:

  • Greg Link (Project Lead), ACL/AOA
  • Danielle Nelson, ACL/AOA
  • Rik Opstelten, Office of Rural and Targeted Programs, Department of Transportation
  • Paul Perry, Veterans Transportation Program, Department of Veterans Affairs
  • Courtney Hoskins, ACL/Denver Regional Office
  • Suma Nair, HRSA/BPHC

Project Lead’s Approving Supervisor:

  • Carol Crecy, Director, Office of Caregiver and Supportive Services, Administration on Aging, ACL

Developing a Real-Time EHR Data Collection Process

Local health care and public health organizations have been exploring ways to leverage information in electronic health records (EHRs) in order provide better health care and public health services. For the CDC, EHRs presents the potential to enhance existing disease surveillance by adding information on the real-time prevalence, treatment, and control of health conditions. This team is partnering with a local health system in Atlanta to test processes for anonymizing EHR data collection and reporting through visualizations critical surveillance information so as to facilitate better health care delivery and public health services.

The Team:

  • Matthew Ritchey (Project Lead), CDC/ONDIEH
  • Linda Roesch, CDC/ONDIEH
  • Sarah Kier, The Emory Clinic

Project Lead’s Approving Supervisor:

  • Michael Schooley, Branch Chief, Division for Heart Disease and Stroke Prevention, Office of Noncommunicable Diseases, Injury and Environmental Health (ONDIEH), Centers for Disease Control & Prevention

Dynamic Risk-Informed Inspectional Work Plan

The FDA conducts each year tens of thousands of inspections of products and  manufacturing plants in order to help ensure the safety of our food supply and the products – like children’s toys – distributed throughout the country. The FDA does not inspect all products and manufacturers, rather it must plan out which sites to inspect when. However, the current planning process is cumbersome and sometimes produces inaccurate results, making risk-based targeting challenging. This team proposes a data-driven, risk-informed, and transparent approach to work planning so as to better facilitate smart inspectional work plans.

The Team:

  • John Hassenplug (Project Lead), FDA/ORA
  • Sarah Pichette, FDA/ORA
  • Leila Lackey, FDA/ORA
  • Michael Fesko, FDA/ORA
  • Stephen Manza, FDA/ORA

Project Lead’s Approving Supervisor:

  • Katherine Bent, Assistant Commissioner for Compliance Policy, Office of Policy and Risk Management, Office of Regulatory Affairs, Food and Drug Administration

FAST! (FDA Accredited Study Sites)

When industry wants to submit a new drug for approval, they include data on the efficacy of that drug. That data is gathered and compiled by a private-sector “Study Site”. Insuring the data provided by a Site is accurate is an integral part of the drug approval process at the FDA. However, the process to validate the data is a significant bottleneck in the drug approval process. Under the current inspection programs, a Site that submits data could be inspected as much as three times in a year because of the high number of applications the same site is supporting. To reduce the backlog, this team proposes to explore an accreditation program for Sites conducting clinical trials for companies seeking drug approval from FDA. If successful, this program can reduce drug approval time and costs to FDA.

The Team:

  • Hasan Irier (Project Lead), FDA/CDER
  • Brian Folian, FDA/CDER
  • Ashley Saba, FDA/CDER
  • Chase Bourke, FDA/CDER
  • Kara Scheibner, FDA/CDER

Project Lead’s Approving Supervisor:

  • Young Moon Choi, Pharmacologist, Office of Clinical Pharmacology and Biopharmaceutics, Center for Drug Evaluation and Research, Food and Drug Administration

HRSA Huddles: Improving Collaboration & Engagement

Collaboration and engagement are essential to meeting HRSA’s goals and supporting a fulfilling work environment for HRSA employees. However, increased reliance on telework, frequent physical moves, communication dependence through email and social media, and changing jobs have led to a critical challenge: HRSA employees’ perception of connection, communication and engagement varies greatly across the agency. This team proposes to test Team Huddles, a successful private sector strategy, as a communication and engagement improvement tool to help teams work more collectively, effectively, and efficiently.

The Team:

  • Sabrina Matoff-Stepp (Project Lead), HRSA/Office of Women’s Health
  • Bethany Applebaum, HRSA/Office of Women’s Health
  • Patrick Lockett, HRSA/Office of Management
  • Shelley Lanier, HRSA/Office of Management
  • Ted Eytan, Clinician, Kaiser Permente Center for Total Health

Project Lead’s Approving Supervisor:

  • Marcia Brand, Deputy Administrator, Health Resource Services Administration

LabGenius: The Smarter Notebook for Scientists

Handwriting is the most efficient documentation interface for NIH scientists who are juggling multiple tasks and may also be encumbered by protective equipment. With that said, transcribing and archiving and later searching these handwritten notes are time-consuming and error-prone tasks. This team proposes to test the implementation of an electronic lab notebook with all the benefits of paper. With a “smart” pen, data recorded on paper (in ink) is also instantly digitized and securely transmitted to web-based software, where it is easily organized, annotated, searched, shared and archived.

The Team:

  • John Didion (Project Lead), NIH/NHGRI
  • Michael Erdos, NIH/NHGRI
  • Anthony Kirilusha, NIH/NHGRI
  • Dylan McDiarmid, NIH/NHGRI (Contractor)
  • Michael Binder, NIH/NHGRI (Contractor)

Project Lead’s Approving Supervisor:

  • Francis Collins, Primary Investigator at the National Human Genome Research Institute & Director of the National Institutes of Health

SAMHSA Training Advisor

To address the problem of poor trainings being offered to federal staff, this team proposes a web platform that would allow staff to read reviews from others who have completed training and help them select training that’s right for them. If fully developed, this tool would provide summary reports to leadership on how training funds were spent, the trainings’ impacts on workforce development, and other information to ensure effective use of workforce training resources.

The Team:

  • Stephanie Zidek-Chandler (Project Lead), SAMHSA/CSAP
  • Mike Etzinger, SAMHSA/OMTO
  • Michael Inguillo, SAMHSA/OMTO

Project Lead’s Approving Supervisor:

  • Clarese Holden, Acting Division Director, Division of State Programs, Center for Substance Abuse Prevention, SAMHSA

Simplify Funding Opportunity Announcements

Publishing grant opportunities is complex and the requirements for what should be in a Funding Opportunity Announcement (FOA) are numerous. This often creates a paradox in which the communities that have the greatest need for grant funding have the least capacity to access that funding. This Ignite project would develop a simplified FOA with streamlined language, fewer requirements, and a simpler interface. The desired impact would be to make grant funding more accessible to the communities for whom it is intended.

The Team:

  • David Berlin (Project Lead), ACF/ANA
  • Michelle Sauve, ACF/ANA (Contractor)
  • Brent Huggins, ACF/ANA (Contractor)

Project Lead’s Approving Supervisor:

  • Camille Loya, Acting Director of the Division of Policy, Planning, and Evaluation, Administration for Native Americans, Administration for Children & Families

Technology Transfer Invention Portal

Many inventions come from within the walls of HHS from public research dollars. It’s the job of Technology Transfer offices to get this invention beyond the walls of government and into the hands of the private sector to grow and mature these inventions and to help spur economic growth and development. However, the process by which federal staff submit an invention is unnecessarily arduous and challenging. This team proposes to simplify and streamline the tech transfer process to help accelerate the adoption of these innovations by the private sector.

The Team:

  • Juliana Cyril (Project Lead), Office of Technology and Innovation, CDC
  • Paco Candal, Office of Technology and Innovation, CDC
  • Sharon Soucek, Office of Technology and Innovation, CDC
  • Laura Prestia, Office of Technology Transfer, NIH
  • Ajoy Prabhu, Office of Technology Transfer, NIH

Project Lead’s Approving Supervisor:

  • Ron Otten, Acting Deputy Associate Director, Office of the Associate Director for Science, CDC

Two Clicks Away: Sharing Successful Strategies

The Administration for Native Americans (ANA) provides grants to tribal communities across the country. And while there a plethora of information has been collected over the years on what the grantees’ have done and how those projects have performed, this information is hidden behind hard to access internal databases. This team proposes to build an online, searchable database to communicate ANA funded projects in hopes of better facilitating promising practices back to their grantee community.

The Team:

  • Megan Kauffmann (Project Lead), ACF/ANA
  • Brent Huggins, ACF/ANA (Contractor)
  • Abigail Kardel, ACF/ANA (Contractor)
  • Joshuah Marshall, ACF/ANA (Contractor)

Project Lead’s Approving Supervisor:

  • Camille Loya, Acting Director of the Division of Policy, Planning, and Evaluation, Administration for Native Americans, ACF

Open Letter to all Ignite Applicants: Thanks and Keep Innovating

Source: http://www.hhs.gov/idealab/2014/12/0...te-applicants/

December 8, 2014

Read is a Program Director in the HHS IDEA Lab and Senior Advisor on Internal Entrepreneurship to the HHS CTO. Among his portfolio, he directs the HHS Ignite Accelerator & the HHS Ventures Fund which support federal employees and their ideas for modernizing government operations, programs & services.

Ignite is our internal accelerator for Department staff who want to test out new ways of improve the way their office, agency, and indeed the entire Department operates.
Learn more about the HHS Ignite Accelerator here.

Update: The original XLS file linked to on this blog wasn’t working properly, so we posted a new one. My Note: I downloaded this

Colleagues –

You probably have seen that today we announced the teams chosen to be part of the next cohort of HHS Ignite. These 13 teams were selected among the 72 proposals submitted following two rounds of reviews and panel discussions.

Our process and methodology reflect the IDEA Lab’s broad mission and long-term strategy for encouraging innovation and empowerment across HHS. We have striven for transparency along the way and hope that we’ve communicated effectively at every step.

In our deliberations we considered many elements. We wanted to ensure a diversity of project types and involve numerous parts of the Department. We looked at the significance of the problem being addressed and the potential for the proposed solution to scale. We also considered team make-up and dynamics, wanting to ensure that a team was both well- equipped to face the hurdles in front of them, had a variety of perspectives to keep them honest, and seemed open to pivoting in order to explore other potential project ideas beyond the one proposed.

There were so many among that 72 that we would like to support. Overall the quality of the proposals submitted this round seemed much higher than previous rounds. But unfortunately, key elements of the HHS Ignite program are difficult to scale. For example, the IDEA Lab’s network of experienced mentors, gatekeepers, experts, and influencers is difficult to package and impossible to multiply in short order.

As we indicated in previous communications, we’ve compiled the Reviewers’ comments and made them available here. Those that submitted proposals for this round may look up their proposal’s scores and feedback by their unique ID.

Over the past two rounds of Ignite, we’ve also built up a database of submitted proposals: a valuable collection of project ideas, problem statements, and communities of bold staff sticking their neck out in order to help make this Department better serve the American people. These are critical data points just waiting to be connected: Passionate employees working on like problems; Similar problems being address by different agencies.

The following link will take you – as long as you’re on the HHS network (apologies to our non-HHS folks reading this) – to a database of all proposals submitted over the last 2 rounds of Ignite:

There are a number of projects that are similar, some even from the same Agency. We haven’t had the chance yet to dive in and make all the connections. So we are opening this up to the HHS community in hopes that it can serve as a platform upon which connections can be made, teams self-assemble, and projects – even new projects – formed and moved forward leveraging the spirit and principles of Ignite.

Finally, we encourage all who applied to continue scrapping, to continue diving deep to understand the problem better than anyone else, to be at the center of multiple perspectives on how to address that problem, and to gain insights and empathy through mindful conversations with all involved.

Many thanks for your interest in the program and we look forward to working with you in the future.

Keep Innovating.

HealthData.gov Developers

Source: http://www.healthdata.gov/developer

HHS hopes HealthData.gov will become a useful hub for developers using government data to improve health. This Developer Corner will become a space for us to highlight uses of health data and to discuss how developers can improve access to the HealthData.gov data catalog.

Catalog API

Source: http://www.healthdata.gov/catalog-api

The HealthData.gov API is used to provide software developers programmatic access to the contents of our data catalog. The API can be used to find recently added datasets, to search the catalog, to download the contents of the catalog for analysis, or to build a new data catalog tool.

HealthData.gov uses CKAN for its API. We are running CKAN version 2.0beta. Documentation for CKAN’s API can be found at http://docs.ckan.org/en/latest/api/legacy-api.html.

Questions about the data catalog API can be sent to the HealthDataGov Google Group.

The base URL for the HealthData.gov API is http://hub.healthdata.gov/api.

In this article:

Accessing the Complete Data Catalog Listing

A JSON listing of every dataset in the catalog can be accessed at http://hub.healthdata.gov/api/2/rest/dataset.

The response is a JSON list of dataset IDs (GUIDs). It looks like this:

["0056861d-28cd-4f8d-97b3-6205517637c3", "00aada73-a456-4547-ac5a-e5ffdc6b4847", "02588273-41d6-4ae5-a90a-1e336d0f129e", "03edc320-4eb7-4089-b66a-a54760a44b28", "0477da33-0795-4669-bba5-cc494604b022", "05457387-7ab6-4c1a-9dba-b1e5bdd5f2ad", "05b7319c-20a1-43f5-a01a-3847933d4ccf", "0660d0f4-b600-4d1e-a0be-228fc2857a12", "067da109-762f-4417-acea-521f227aea42", "088c4f1b-b266-40e8-a12b-cda2b97670eb", "08d78f4d-40c0-4691-948c-a4f17df65e59", "09bda462-ef6b-43ee-955f-b3e40d288eec", . . .

You can also get a list of slugs (i.e. the name that goes into the URL for each dataset) rather than GUIDs using http://hub.healthdata.gov/api/1/rest/dataset. The response is a JSON list of strings:

["dietary-supplements-labels", "nursing-home-compare", "child-growth-charts", "home-health-compare", "genetics-home-reference", "renal-dialysis-facility-medicare-cost-report-data-1996", "renal-dialysis-facility-medicare-cost-report-data-2001", "health-resources-county-comparison", "home-health-agency-medicare-cost-report-data", "omha-appeals-listed-state", "renal-dialysis-facility-medicare-cost-report-data", "hospital-medicare-cost-report-data-fy1995", "2008-basic-stand-alone-hospice", "find-shortage-areas-hpsas-eligible", "part-national-summary-data-file-cy2004", "departmental-appeals-board-decisions", . . .

You can alternatively get the complete dataset metadata record with each response using http://hub.healthdata.gov/api/search/dataset?all_fields=1&rows=500. The fields are described in more detail below.

Searching the Data Catalog

The data catalog can be searched using URLs such as:

http://hub.healthdata.gov/api/search/dataset?q=medicare&start=0&rows=20

Use the q parameter to specify the search term. Note that the results are paged. Use start and rows to specify the page of results to load. See the CKAN search API documentation for details. The response for the above search is:

{"count": 164,
 "results":
  ["medicare-enrollment-dashboard", "medicare-tools-downloadable",
   "medicare-appeals-council-decisions", "medicare-appeals-council-decisions-1",
   "medicare-medicaid-statistical", "medicare-geographic-variation", "data-compendium",
   "chronic-conditions-chart-book", "helpful-contacts", "plans-quality-compare",
   "2008-chronic-conditions", "2008-basic-stand-alone-hospice",
   "2008-basic-stand-alone-durable", "2008-basic-stand-alone-prescription",
   "active-project-reports", "2008-basic-stand-alone-home",
   "2008-basic-stand-alone-skilled", "2008-basic-stand-alone-carrier", "claims-listed-state",
   "omha-appeals-listed-state"]
}

The primary fields (see below) support filtering. Use author=___ to filter the results by agency. For instance http://hub.healthdata.gov/api/search/dataset?author=Centers%20for%20Medicare%20%26%20Medicaid%20Services returns only datasets submitted by the Centers for Medicare & Medicaid Services:

{"count": 149,
 "results":
  ["2008-basic-stand-alone-carrier", "2008-basic-stand-alone-durable",
  "2008-basic-stand-alone-home", "2008-basic-stand-alone-hospice",
  "2008-basic-stand-alone-inpatient", "2008-basic-stand-alone-outpatient",
  "2008-basic-stand-alone-prescription", "2008-basic-stand-alone-skilled",
  "2008-chronic-conditions", "active-project-reports"]
}

You can also search for recently revised entries using URLs such as http://hub.healthdata.gov/api/search/revision?since_time=2012-05-05. The result is a list of revision GUIDs. You can find the dataset GUID from a revision GUID by appending the revision GUID to http://hub.healthdata.gov/api/2/rest/revision/, such as http://hub.healthdata.gov/api/2/rest/revision/b1dae0c1-10d6-4c4d-8f2b-e9eb46d59d7d, which gives this output:

{
 "id": "b1dae0c1-10d6-4c4d-8f2b-e9eb46d59d7d",
 "timestamp": "2012-05-30T22:16:35.228513",
 ...
 "packages": ["e5784720-a9a5-407e-bc36-84420289f1a9"],
 "groups": []
}

The dataset GUID is the GUID in the packages element (b7de8bdd-2edc-4713-888d-d6cb87c7196b). You can plug that into the dataset details API explained next.

Accessing Individual Datasets

Dataset metadata is available in machine-readable form in JSON, RDF/XML, and Notation 3.

JSON

To access a particular dataset in JSON, append the dataset GUID to http://hub.healthdata.gov/api/2/rest/dataset/. The response is a JSON object containing information about the dataset. For instance the URL http://hub.healthdata.gov/api/2/rest/dataset/e5784720-a9a5-407e-bc36-84420289f1a9 gives:

{
 "id": "e5784720-a9a5-407e-bc36-84420289f1a9",
 "metadata_created": "2012-05-30T22:16:35.228513",
 "metadata_modified": "2012-05-30T22:16:35.228513",
 "author": "Centers for Medicare & Medicaid Services",
 "tags": ["claims", "enrollment", "expenditures", "inpatient", "managed care",
    "medicaid", "prescription drug"],
 "name": "validation-reports",
 "notes_rendered": "<p>Medicaid Analytic eXtract (MAX) Validation Reports ...",
 "url": "http://www.cms.gov/MedicaidDataSourcesGenInfo/MVR/list.asp",
 "notes": "Medicaid Analytic eXtract (MAX) Validation Reports These documents contain ...",
 "title": "MAX Validation Reports",
 "extras": {
  "Unit of Analysis": "Person",
  "hd2-workflow-id": "753",
  "Agency": "Department of Health & Human Services",
  "Geographic Granularity": "State",
  "Technical Documentation": "http://www.cms.gov/MedicaidDataSourcesGenInfo/MVR/list.asp",
  "Collection Frequency": "Annually",
  "Agency Program URL": "http://www.cms.gov/MedicaidDataSourcesGenInfo/MVR/",
  "Date Updated": "2011-10-19",
  "Date Released": "2003-01-01",
  "author_id": "http://healthdata.gov/id/agency/cms",
  "Subject Area 1": "Medicaid",
  "Geographic Scope": "State"
 },
 "revision_id": "b1dae0c1-10d6-4c4d-8f2b-e9eb46d59d7d"
}

To find the URL for a dataset, you can also look for the link in the “Metadata API” field on the dataset page on http://www.healthdata.gov.

CKAN has three types of fields: primary fields, “extras” (general metadata), and “resources” (downloadable files). All but the primary fields are optional. Field definitions are documented at the end of this page.

RDF XML and Notation 3 (N3)

You can also access the dataset metadata in RDF, in either XML or Notation 3 format. The URL to these resources can be made by concatenating http://hub.healthdata.gov/dataset/, the dataset GUID or name, and either “.rdf” or “.n3”. (It is the public page for the dataset on our CKAN site plus the file extension. Alternatively you can set the HTTP Accept header to application/rdf+xml or text/n3 on the public page URL.)

Taking the same dataset as above, the RDF metadata can be accessed at http://hub.healthdata.gov/dataset/e5784720-a9a5-407e-bc36-84420289f1a9.rdf. We use Dublin Core, DCAT, and other vocabularies as appropriate.

You can also find the URL in the Metadata API field on http://www.healthdata.gov's dataset pages.

JSON Schema

The JSON output for datasets uses the following schema:

Primary Fields
field type description

id

GUID

The unique identifier for the dataset in the HealthData.gov API.

title

plain text

The display name for the dataset.

notes

plain text

The description of the dataset.

notes_rendered

HTML text

The description of the dataset rendered in HTML using Markdown.

author

plain text

The name of the federal agency that submitted the dataset to HealthData.gov.

url

url

The URL to the home page for the dataset, which may link to downloadable files.

tags

array of strings

Tags associated with the dataset.

Extras Fields
field type description

author_id

uri

A URI uniquely identifying the agency submitting the data. The URI is in the http://healthdata.gov/id/agency space and while it does not currently resolve to a resource it can be used as a canonical identifier for the agency.

Group Name

plain text

A display name shared across datasets that are related.

Agency

plain text

The name of the federal department submitting the data. Generally “Health and Human Services.”

Subject Area 1

string

A subject area. Subjects come from a fixed vocabulary, currently: Administrative, Biomedical Research, Children's Health, Epidemiology, Health Care Cost, Health Care Providers, Medicaid, Medicare, Other, Population Statistics, Quality Measurement, Safety, Treatments.

Subject Area 2

string

A subject area. See above.

Subject Area 3

string

A subject area. See above.

Date Released

date

The date the dataset was first made available to the public (possibly before it was posted on HealthData.gov). Format: YYYY-MM-DD.

Date Updated

date

The date the dataset was last changed, i.e. the last change to the data itself and not necessarily the metadata record. Format: YYYY-MM-DD.

Agency Program URL

url

The URL of the agency program responsible for the data.

Collection Frequency

string

The frequency with which the data was collected, which is sometimes different from the frequency at which the data is published. Possible values are Annually, Semi-Annually, Quarterly, Monthly, Weekly, Daily.

Coverage Period Start

date

The start of the coverage period, i.e. the date range that the data pertains to. Format: YYYY-MM-DD.

Coverage Period End

date

The end of the coverage period, i.e. the date range that the data pertains to. If the coverage period end date is omitted, the dataset may cover the period from the start date to the present time. Format: YYYY-MM-DD.

Coverage Period Fiscal Year Start

year

For coverage periods that are based on fiscal years rather than calendar years, the starting fiscal year of the coverage period. Format: YYYY.

Coverage Period Fiscal Year End

year

For coverage periods that are based on fiscal years rather than calendar years, the ending fiscal year of the coverage period. If the coverage period end fiscal year is omitted, the dataset may cover the period from the starting fiscal year to the present time. Format: YYYY.

Unit of Analysis

plain text

The unit of analysis, i.e. the object of study. Examples are “recalled food items” and “renal dialysis facility”.

Geographic Scope

plain text

The geographic region covered by the dataset. If omitted, the dataset is typically national in scope.

Geographic Granularity

string

The granularity of the geographic coverage. Possible values are Latitude/Longitude Coordinate, Street Address, Census Tract, City, MSA (metropolitian statistical area), ZIP Code, County, State, Sub-National Region, and Country.

Technical Documentation

url

The URL to technical documentation for the dataset.

Data Dictionary

url

The URL to a data dictionary for the dataset.

Collection Instrument

url

The URL to information about the data collection instrument.

License Agreement Required

integer

Whether a license agreement must be agreed to before using the data (1 if yes, 0 if no, omitted if not known).

License Agreement

url

The URL to a license agreement that must be agreed to before using the data.

Resource Fields

A dataset may have one or more resource records, each of which represents a downloadable file or a query tool interface. Multiple files are often specified when the dataset is available in multiple formats. Each resource record uses these fields:

field type description

url

url

The URL of the downloadable file or the query interface.

name

plain text

The display name of the media format, e.g. CSV. Currently the same as the format attribute.

format

string

The media format. Possible values are API, CSV, ESRI, Feed, KML, Map, Query Tool, RDF, Text, Widget, XLS, XML.

Developer Challenges Overview

Source: http://www.healthdata.gov/developer-...enges-overview

Evolving the HealthData.gov Platform (HDP)

As part of the HHS Open Government Plan, the HealthData.gov Platform (HDP) is a flagship initiative and focal point helping to establish learning communities that collaboratively evolve and mature the utility and usability of a broad range of health and human service data. HDP is leveraging Web oriented and Cloud based architecture frameworks and standards, running on open source software components to deliver enhanced Health IT infrastructure capabilities. HDP will facilitate better integration, analysis, and interpretation of our data, helping meet the growing demand for more public and private sector value added information services. Through expanded use of application programming interfaces (APIs) and the incorporation of new data element identification and metadata tagging methodologies, HDP will improve the liquidity of health data, increasing the efficiency of data transfer and the effectiveness of data distributions. Overall, HDP will deliver greater potential for new data driven insights into complex interactions of health and health care services.

To augment the HDP effort, seven complementary developer challenges will be released over the course of a year to encourage innovation around initial platform- and domain-specific priority areas, fostering opportunities to tap the creativity of entrepreneurs and productivity of developers. The challenge competitions are of two types: three domain-specific challenges are intended to improve the integration and liquidity of data made available, and four platform-specific challenges are intended to enhance the capabilities of the technology components being employed. The virtual machines and codebase outputs from innovations demonstrated by challenge participants will be made publically available through HHS Github repositories as release candidates for further community refinement as necessary, including open source licensing and contributor attribution as appropriate, with the goal being incorporation into subsequent HDP product roadmap releases.

Domain Challenges

1. The Metadata domain challenge requests the application of existing voluntary consensus standards for metadata common to all open government data, and invites new designs for health domain specific metadata to classify datasets in our growing catalog, creating entities, attributes and relations that form the foundations for better discovery, integration and liquidity.

This challenge is open now! See this blog post for more information.

2. The Mapping, Reconciliation and Correlation’ domain challenge builds on the Metadata domain challenge and begins by acknowledging disparate open government publishing practices and seeks the demonstration of an innovative and automated solution for transforming semi-structured data into structured data, reconciles decentralized distributions about the same data entity against the master identity of an authoritative source, and correlates these master identities when multiple authoritative sources exist, enabling the network effect by introducing strong identity resolution techniques that ease the ability to aggregate different data about the same entities from independent publishers.

3. The Correlating HHS – NHS Classifications domain challenge builds on both the Metadata and Mapping, Reconciliation and Correlation domain challenges, and uses the US and UK health domain specific classification schemes to exercise the capabilities demonstrated by the automated solution to the Mapping, Reconciliation and Correlation challenge, resulting in better international integration of frameworks for understanding societal outcomes and their corresponding health statistics.

Platform challenges

1. The WebID based SSO platform challenge will improve community engagement by providing simplified sign on (SSO) for external users interacting across multiple HDP technology components, making it easier for community collaborators to contribute, leveraging new approaches to decentralized authentication. 

This challenge is open now! See this blog post for more information.

2. The Faceted Browsing and Visualization platform challenge builds on the Metadata domain challenge and uses the most popular browser based UI frameworks and libraries to realize novel exploration and discovery techniques for traversing large amounts of interrelated data, contributing to a growing collection of open source widgets that make it easy for third parties to create new applications and embed health data in their content.

3. The Custom API platform challenge will also build on the Metadata domain challenge and make it possible to tune the programmatic access in accordance with the unique content of different datasets to the classifying metadata, leveraging an existing ‘Web 3.0’ framework and Linked Data API (LDA) implementation to provide specialized interfaces for machine friendly access to specific data.

4. The LDA based DEAS platform challenge builds on the Metadata domain challenge, and the Web ID based SSO and Custom API platform challenges, augmenting WebID based authentication with metadata driven authorization, introducing an innovative security and privacy implementation of ‘data element access services’ (DEAS) described by the President’s Council of Advisors on Science and Technology Health Information Technology report, resulting in a Custom API configured by domain specific metadata that governs fine grained access to provide the right data to the right user.

Source Code

Source: http://www.healthdata.gov/source-code

The source code for this site, HealthData.gov, will be made available to the public under an open source license. We are making the source code available so that:

  • You can submit improvements to the website in the form of a git pull request.
  • You can get a better understanding of how HealthData.gov works.

HealthData.gov is based on Drupal 7 (for http://www.healthdata.gov) and CKAN 1.7 (for http://www.hub.healthdata.gov). We wrote several custom modules to pass data back and forth between Drupal and CKAN.

Because of Drupal's architecture of storing configuration and data in the same database, the source code is not enough to run your own local instance of HealthData.gov. You will also need our boostrapping database (mysql dump file to be published here in the future).

Our code for the Drupal site is licensed as a whole under the terms of the GNU GPL license. Some parts are based on the CKAN module for Drupal orignally created for Data.gov.uk, which was licensed under the terms of the GPL. Our additions, as work of the federal government, are public domain. The license is similar for the CKAN site. Our customization of CKAN as a whole is licensed under the GNU AGPL license because the CKAN source code on which it is based is AGPL-licensed. Our additions, however, are public domain.  (See the GNU GPL frequently asked questions for how this works.)

Questions about the source code and discussion about the HealthData.gov project take place on the HealthDataGov Google Group.

The code and further documentation will be found Github (public repositories coming very soon!).

Clinical Quality Linked Data About US Hospitals

Source: http://www.healthdata.gov/cqld

Sample web pages that list:

Some Sample Data Served:

The web pages linked above were created by:

  1. Carving up each URI into parameters
  2. Substituting parameters into a query string
  3. Sending the query string to the SPARQL endpoint
  4. XML results are sent to an XSLT transform to create the web page

The SPARQL endpoint itself can be found at http://healthdata.gov/sparql

Data API

Source: http://www.healthdata.gov/data-api

Healthdata.gov is rolling out APIs for the data in datasets in the Healthdata.gov catalog. This Data API provides application developers with search and query capabilities for data in API-enabled datasets. The Data API promotes the rapid development of apps around health data.

The Data API described below supplements the bulk data downloads available for datasets listed in the catalog. Also available is the Catalog API which provides programmatic access to the complete metadata in the Healthdata.gov data catalog.

The Data API is currently enabled for three datasets:

Questions about the Data API can be sent to the HealthDataGov Google Group.

Examples

Here are some examples of what you can do with the Data API:

TXT4Tots

The TXT4Tots Message Library datasets provide recommended text for age-appropriate nutrition and physical activity reminders. Use the Data API to build an app that sends text messages to caregivers with short reminders appropriate to the age of their child. The app can query the Data API for the next message to send, given the child’s age.

The following example uses the ‘curl’ command-line tool to demonstrate this API query. The query parameters are passed in POST request in JSON format.

curl http://hub.Healthdata.gov/api/action/datastore_search --data-urlencode '
{
  "resource_id": "abed461e-3eb0-4596-9e1e-3a45817e71c4",
  "filters": {
    "childsageinweeks": 97
  }
}'

The JSON result of the query is:

{
  "help": ...,
  "result": {
    "_links": {
      "next": "/api/action/datastore_search?offset=100",
      "start": "/api/action/datastore_search"
    },
    "fields": [...],
    "filters": {
      "childsageinweeks": 97
    },
    "records": [
      {
        "_id": 52,
        "charactercount": "118",
        "childsageinweeks": "97",
        "field_": "",
        "messageid": "1052",
        "messagetype": "Happy Birthday",
        "sequence": "1",
        "txt4totsmessage": "TXT4Tots: Happy 2nd Birthday! Congratulations on making it to the 2's in such a healthy way! Enjoy celebrating today. "
      }
    ],
    "resource_id": "abed461e-3eb0-4596-9e1e-3a45817e71c4",
    "total": 1
  },
  "success": true
}

Hospital Compare

The Hospital Compare dataset provides quality measures for hospitals. Use the Data API to search for hospitals by name or ZIP code. Here is how to execute such a query using the ‘curl’ command-line tool. The query parameters are passed in POST request in JSON format.

curl http://hub.Healthdata.gov/api/action/datastore_search --data-urlencode '
{
  "resource_id": "391792b5-9c0a-48a1-918f-2ee63caa1c54",
  "filters": {
    "addr_postalcode": 11803
  }
}'

The JSON result is:

{
  "help": ...,
  "result": {
    "_links": {
      "next": "/api/action/datastore_search?offset=100",
      "start": "/api/action/datastore_search"
    },
    "fields": [...],
    "filters": {
      "addr_postalcode": 11803
    },
    "records": [
      {
        "_id": 3211,
        "addr_city": "PLAINVIEW",
        "addr_line_1": "888 OLD COUNTRY ROAD",
        "addr_postalcode": "11803",
        "addr_state": "NY",
        "county_cd": "400",
        "emergency_serv_type": "Yes",
        "hospital_type": "Short-term",
        "hsp_accreditation": "",
        "hsp_name": "PLAINVIEW HOSPITAL",
        "ownership_type": "Voluntary non-profit - Private",
        "provider_id": "330331",
        "seqn": "3211",
        "tel_nbr": "5167193000"
      }
    ],
    "resource_id": "391792b5-9c0a-48a1-918f-2ee63caa1c54",
    "total": 1
  },
  "success": true
}

Finding The Data API Resource

To begin using the Data API, you must find the resource page on hub.Healthdata.gov, which is where the API is located.

Starting on the dataset listing page, such as TXT4Tots Message Library – English, scroll to the bottom of the page to find the "CKAN Page" link, which is an address on hub.Healthdata.gov. Follow that link. For TXT4Tots, the link takes you to this page. It is the dataset page on hub.Healthdata.gov.

Each dataset may have one or more resources listed under “Data and Resources." Each resource is a singletable of data. Click the resource title to open the resource page. On the TXT4Tots Message Library – English dataset, there is a single CSV table resource. Click “CSV” to open this resource page.

The resource page shows a preview of the data table, including the list of field names that can be used in the API. At the top right of the page you will also see "Download" and "Data API" buttons. The Download button downloads the original raw data file for the resource (in this example, a CSV file). Click the Data API button for example URLs for querying the Data API for this resource.

Using the Data API

The Data API’s search method allows a developer to search the rows of the dataset. It can return:

  • All rows (paged with ‘limit’ and ‘offset’ parameters).
  • Rows matching a full-text search (using the ‘q’ parameter).
  • Rows matching particular field values (using ‘filters’).

A Data API query is a POST request to http://hub.Healthdata.gov/api/action/datastore_search. The query parameters are sent in a URL-encoded JSON dict. The parameters are:

  • resource_id: Required. The GUID of the resource to query. You can find the GUID in the URL for the resource page on hub.Healthdata.gov. For example, the GUID of the Hospital Compare’s Hospital Characteristics (HOSP) table is "391792b5-9c0a-48a1-918f-2ee63caa1c54."
  • limit: Optional. The maximum number of rows to return.
  • offset: Optional. The starting row number of the returned results (zero-based).
  • q: Optional. Text to use for a full-text search.
  • filters: Optional. A JSON dict of field-value pairs to filter the results on particular column values.

The response is a JSON dict with the following fields:

  • success: A boolean value indicating if the query was successful.
  • error: On failure, a dict containing error information.
  • result: On success, a dict containing the query results.

The result object has the following fields:

  • total: The total number of matching rows in the table.
  • records: An array of matching rows. Each row is a dict with name/value keys corresponding to the table’s columns.

See the CKAN documentation on datastore_search for further details and other search methods.

Python Examples

Example 1: Paging Results

The following Python example shows how to retreive the 21st through 30th rows of the Hospital Compare HOSP table:

import urllib, json

query = {
  "resource_id": "391792b5-9c0a-48a1-918f-2ee63caa1c54",
  "limit": 10,
  "offset": 20
}

results = urllib.urlopen(
  "http://hub.Healthdata.gov/api/action/datastore_search",
  urllib.quote(json.dumps(query)))

results = json.load(results)

for rec in results["result"]["records"]:
  print rec["hsp_name"]
Example 2: Full-Text Search

To make a full-text query, pass the query text in the ‘q’ parameter. Here is how to revise the query object from the previous example to perform a full-text query (the rest of the example is the same as above):

query = {
  "resource_id": "391792b5-9c0a-48a1-918f-2ee63caa1c54",
  "q": "Plainview"
}
Example 3: Filtering on Field Values

To filter by a particular field, specify the values of fields in a JSON dict and set it as the “filters” parameter. The field names are listed in the data table preview on the resource page on hub.Healthdata.gov, or in the response object of any query.

Here is how to revise the query object from the previous example to use filters instead of a full text search:

query = {
  "resource_id": "391792b5-9c0a-48a1-918f-2ee63caa1c54",
  "filters": {
    "addr_postalcode": 11803
  }
}

TXT4Tots Message Library - English

Source: http://www.healthdata.gov/data/datas...ibrary-english

TXT4Tots is a library of short, evidence-based messages focused on nutrition and physical activity. The library is targeted to parents and caregivers of children, ages 1-5 years, and is available in English and Spanish. Content for the messages was derived from American Academy of Pediatrics (AAP) Bright Futures: Guidelines for Health Supervision of Infants, Children and Adolescents, which uses a developmentally based approach to address children’s health needs in the context of family and community. TXT4Tots End User Agreement found here:http://www.hrsa.gov/healthit/txt4tots/enduseragreement.html

 
Download the Data: CSV API My Note: I downloaded this CSV

Agency and Program Information

Agency:Health Resources and Services Administration
Agency Program URL: http:/­/­www.hrsa.gov/­healthit/­txt4tots/­
Data Series Location: http:/­/­www.hrsa.gov/­healthit/­txt4tots/­
Keywords:developers, text message library
Subject:Other
Date Released:Mar 22, 2013

For Developers

Hospital Compare - API via CKAN Datastore

​Source: http://hub.healthdata.gov/dataset/ho...al-compare-api

This dataset demonstrates the use of the CKAN Datastore for creating an API from raw tabular data.

The dataset comprises 33 separate tables, each listed as a resource below. Each resource has a Datastore-powered API.

The following notes are from the main dataset entry at http://hub.healthdata.gov/dataset/hospital-compare:

The data that is used by the Hospital Compare tool can be downloaded for public use. This functionality is primarily used by health policy researchers and the media. The data provided includes process of care, mortality, and readmission quality measures. The collection period for the measures is generally 12 months. However, some measures may be based upon fewer than 12 months. Generally, the Hospital Compare quality measures are refreshed the third month of each quarter.

Data and Resources

My Note: Copying this from CKAN Drupal produces a mess!

ahrqn: Healthcare Research and Quality ...CSV
4 rows. National data regarding the Agency for Healthcare Research and...
 Explore My Note: This gave a server error
ahrqp: Healthcare Research and Quality ...CSV
4609 rows. Information regarding hospitals that provide various Patient...
 Explore 
ahrqs: Healthcare Research and Quality ...CSV
56 rows. State data regarding the Agency for Healthcare Research and Quality...
 Explore 
cacn: Childrens Asthma Care National (CACN) ...CSV
1 rows. National data regarding children's asthma care measures.
 Explore 
cacop: Childrens Asthma Care Only Providers ...CSV
25 rows. Hospitals that are Childrens Asthma Care providers.
 Explore 
cacp: Childrens Asthma Care Providers (CACP) ...CSV
117 rows. Information about hospitals that provide care for children's asthma.
 Explore 
cacs: Childrens Asthma Care State (CACS) ...CSV
56 rows. State data regarding children's asthma care measures.
 Explore 
cn: Clinical National (CN) 2012-08-24CSV
2 rows. National clinical information.
 Explore 
cp: Clinical Provider (CP) 2012-08-24CSV
4609 rows. Measurements regarding how well hospitals treat specific conditions.
 Explore 
cs: Clinical State (CS) 2012-08-24CSV
56 rows. State clinical information.
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hacn: Healthcare-Acquired Conditions, National ...CSV
8 rows. National data regarding Healtcare-Acquired Conditions
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hacp: Healthcare-Acquired Conditions, Provider ...CSV
36872 rows. Provider data regarding Healthcare-Acquired Conditions
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haip: Healthcare-Associated Infections, Provider ...CSV
3619 rows. Provider data regarding Healthcare-Associated Infections
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hais: Healthcare-Associated Infections, State ...CSV
56 rows. State data regarding Healtcare-Associated Infections
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hn: Hospital Consumer Assessment of Healthcare ...CSV
1 rows. Survey information about US performance measures and metrics.
 Explore 
hophc: Hospital Outpatient Quality Data Reporting ...CSV
4078 rows. General hospital characteristic information as measured by HOPQDRP.
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hophp: Hospital Outpatient Quality Data Reporting ...CSV
4078 rows. Survey information about hospital HOPQDRP performance measures and...
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hopnp: Hospital Outpatient Quality Data Reporting ...CSV
3 rows. HOPQDRP national outcome performance measures and metrics.
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hopqdrpq: Hospital Outpatient Quality Data ...CSV
13 rows. Quarterly reporting information for HOPQDRP measures.
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hopsp: Hospital Outpatient Quality Data Reporting ...CSV
56 rows. Survey information about state outpatient performance measures and...
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hosp: Hospital Characteristics (HOSP) 2012-08-24CSV
4609 rows. General hospital characteristic information.
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hp: Hospital Consumer Assessment of Healthcare ...CSV
4609 rows. Survey information about performance measures and metrics for...
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hpv: Hospital Payment Volume (HPV) 2012-08-24CSV
3503 rows. Payment volume and hospital characteristic information.
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hs: Hospital Consumer Assessment of Healthcare ...CSV
56 rows. Survey information about performance measures and metrics for states.
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npv: National Payment Volume (NPV) 2012-08-24CSV
70 rows. US payment volumes.
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on: National Outcomes (ON) 2012-08-24CSV
4 rows. National outcome performance measures and metrics.
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op: Provider Outcomes (OP) 2012-08-24CSV
4738 rows. Risk standardized mortality and readmission information about...
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oq: Outpatient Quarters (Q) 2011-12-22CSV
11 rows. Quarterly reporting information for various measures.
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os: State Outcomes (OS) 2012-08-24CSV
56 rows. Survey information about state outcome performance measures and...
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ppv: Provider Payment Volume (PPV) 2012-08-24CSV
137389 rows. Hospital payment volumes.
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q: Quarters (Q) 2012-08-24CSV
58 rows. Quarterly reporting information for various measures.
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sm: Structural Measures (SM) 2012-08-24CSV
4609 rows. Structural measurements for hospitals.
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spv: State Payment Volume (SPV) 2012-08-24CSV
3726 rows. State payment volumes.
 Explore 

Additional Info
Field    Value
Source    http://www.medicare.gov/Download/Hos..._flatfiles.zip My Note: I downloaded this
Author    Centers for Medicare & Medicaid Services

Medicare.gov/HospitalCompare Downloadable Databases

PDF

System Requirements Specification
Centers for Medicare & Medicaid Services

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Table of Contents

Document Purpose 3
Background 3
Hospital Compare Measures Description/Background and Reporting Cycles 4
Data Collection Period Information 7
Hospital Compare Downloadable Database  8

Access and CSV Downloadable File Contents  9
Access and CSV Data Content Summary 11
CSV Revised Flat Files and Data.Medicare.gov Data File Summary 29
CSV Revised Flat Files and Data.Medicare.gov Data Content Summary 31

Appendix A – Hospital Compare Measures 71
Appendix B – HCAHPS Survey Question Listing 76
Appendix C – Footnote Crosswalk 78

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Document Purpose

The purpose of this document is to identify the requirements for maintenance and support of the Hospital Compare Downloadable Databases, which can be found by clicking the following links: http://www.medicare.gov/download/downloaddb.asp and https://data.medicare.gov. The data is displayed on the Hospital Compare Web site and can include additional information about hospital performance that may not be publicly reported on the Web site.

Background

Hospital Compare was created as a result of the Hospital Quality Initiative through the efforts of the Centers for Medicare and Medicaid Services (CMS) and the Hospital Quality Alliance (HQA). The HQA was a public-private collaboration established in December 2002 to promote data collection and public reporting on hospital quality of care. The HQA consisted of organizations that represented consumers, payers, hospitals, clinicians, accrediting organizations, federal agencies, and other stakeholders. The HQA effort was intended to help consumers make informed health care decisions and to support efforts to improve quality in U.S. hospitals. The HQA disbanded in December 2011, and CMS currently maintains the Hospital Compare Web site.

Hospital Compare is a tool that provides valid, credible, and user-friendly information about the quality of care delivered in the nation’s acute care, critical access, VA, and Children’s hospitals. This information can help consumers make informed decisions about health care. Hospital Compare allows consumers to select multiple hospitals and directly compare performance measure information related to acute myocardial infarction (AMI), heart failure (HF), pneumonia (PN), surgery, and other conditions. See Appendix A for a full list of the Hospital Compare measures. These results are organized by:

  • Patient Survey Results
  • Timely and Effective Care (Process of Care) measures
  • Readmissions, Complications, and Deaths
  • Use of Medical Imaging
  • Medicare Payment
  • Number of Medicare Patients Treated
  • Linking Quality to Payment
    • Hospital Readmissions Reduction
    • Hospital Value-Based Purchasing

To access the Hospital Compare Web site, please visit http://www.medicare.gov/hospitalcompare.

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Hospital Compare Measures Description/Background and Reporting Cycles

Data is collected in differing timeframes from the various quality measurement contractors. Below is a brief description of the collection process and report timing for each measure set.

 

Measure Category Description
Structural Measures Description/Background A Structural measure reflects the environment in which providers care for patients. For example, whether or not a hospital uses an electronic health record is a Structural measure. Hospitals submit Structural measure data using an online data entry tool made available to hospitals and their vendors.
Structural Measures
 
Reporting Cycle The collection period for the Structural measures is 12 months. The Structural measures are typically refreshed annually.
Timely and Effective Care Description/Background The measures of Timely and Effective Care measure the percentage of hospital patients who receive treatments known to get the best results for certain common, serious medical conditions or surgical procedures, and how quickly hospitals treat patients who come to the hospital with certain medical emergencies. The measures only apply to patients for whom the recommended treatment would be appropriate. The measures of Timely and Effective Care apply to adults and children treated at hospitals paid under the Inpatient Prospective Payment System (IPPS) or the Outpatient Prospective Payment System (OPPS) or those that voluntarily report data on measures for whom the recommended treatments would be appropriate, including Medicare patients, Medicare managed care patients, and non-Medicare patients.
Timely and Effective Care Reporting Cycle The collection period for the Timely and Effective Care measures is generally 12 months. The Timely and Effective Care measures are typically refreshed quarterly, based on a rolling four quarters.
30-Day Mortality and Readmission Measures Description/Background The risk-standardized AMI, HF, and PN 30-Day Mortality and Readmission measures were developed by a team of clinical and statistical experts from Yale and Harvard universities, using a methodology that has been published in peer reviewed literature. The measures comply with standards for publicly reported outcomes models set forth by the American Heart Association and the American College of Cardiology. CMS calculates hospital-specific 30-day mortality and readmission rates using Medicare claims and eligibility information as well as VA administrative information. Using administrative data makes it possible to calculate mortality and readmission rates without performing medical chart reviews or requiring hospitals to report additional information to CMS. To make comparisons between hospitals fair, calculation of the 30-Day Mortality and Readmission measures adjust for patient characteristics that may make death or readmission more likely, even if the hospital provided quality care—including the patient’s age, gender, past medical history, and other diseases or conditions (comorbidities) the patient had at hospital arrival that are known to increase the patient’s risk of dying or readmission.
30-Day Mortality and Readmission Measures Reporting Cycle The collection period for the 30-Day Mortality and Readmission measures is 36 months. The 30-Day Mortality and Readmission measures for AMI, HF, and PN are produced from Medicare claims and enrollment data. The 30-Day Mortality and Readmission measures are typically refreshed annually.
AHRQ Patient Safety Indicators (PSIs) and Inpatient Quality Indicators (IQIs) Description/Background The AHRQ PSIs and IQIs reflect quality of care for hospitalized adults and focus on potentially avoidable complications and iatrogenic events. CMS currently publicly reports six PSI measures and three IQI measures.
AHRQ Patient Safety Indicators (PSIs) and Inpatient Quality Indicators (IQIs) Reporting Cycle The collection period for the PSIs and IQIs is 24 months. The PSI and IQI measures are typically refreshed annually.
Hospital-Acquired Conditions (HACs) Description/Background On July 31, 2008, in the IPPS Fiscal Year (FY) 2009 Final Rule, CMS selected 10 categories of conditions for a HAC payment provision. Hospitals no longer receive additional payment for cases in which one of the selected conditions was not present on admission. CMS will use eight of these 10 HACs for the Hospital Inpatient Quality Reporting (IQR) Program. Only hospitals participating in the IQR Program and paid under the IPPS will have results for the HAC measures on Hospital Compare because the HAC measures rely on Present on Admission (POA) coding, which is only required of IPPS hospitals.
Hospital-Acquired Conditions (HACs) Reporting Cycle The collection period for the HAC measures is 24 months. The HAC measures are typically refreshed annually.
Healthcare-Associated Infections (HAIs) Description/Background HAIs are among the leading causes of death in the United States. HAIs put the patient at risk for serious injury, morbidity, mortality, increase the days of hospitalization required for patients, and add to healthcare costs. HAIs are largely preventable using widely publicized guidelines and interventions, such as better hygiene and advanced scientifically tested techniques. HAI measure data are collected by the Centers for Disease Control and Prevention (CDC) via the National Healthcare Safety Network (NHSN) tool. Hospitals must enroll and complete NHSN training to comply with CMS’ IQR Program HAI requirements.
Healthcare-Associated Infections (HAIs) Reporting Cycle The collection period for the HAI measures is 12 months. The HAI measures are typically refreshed quarterly, based on a rolling four quarters.
Outpatient Imaging Efficiency Description/Background CMS has adopted six measures (OP-8 through OP-11, OP-13, and OP-14) which capture the quality of outpatient care in the area of imaging. CMS notes that the purpose of these measures is to promote high-quality efficient care. Each of the measures currently utilize both the Hospital OPPS claims and Physician Part B claims in the calculations. These calculations are based on the administrative claims of the Medicare fee-for-service population and no additional data submission is required by hospitals.
Outpatient Imaging Efficiency Reporting Cycle The collection period for the Outpatient Imaging Efficiency measures is 12 months. The Outpatient Imaging Efficiency measures are typically refreshed annually.
Outpatient Imaging Efficiency Description/Background CMS has adopted six measures (OP-8 through OP-11, OP-13, and OP-14) which capture the quality of outpatient care in the area of imaging. CMS notes that the purpose of these measures is to promote high-quality efficient care. Each of the measures currently utilize both the Hospital OPPS claims and Physician Part B claims in the calculations. These calculations are based on the administrative claims of the Medicare fee-for-service population and no additional data submission is required by hospitals.
Outpatient Imaging Efficiency Reporting Cycle The collection period for the Outpatient Imaging Efficiency measures is 12 months. The Outpatient Imaging Efficiency measures are typically refreshed annually.
Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) Patient Survey Description/Background The HCAHPS Patient Survey is a 32-item survey instrument and data collection methodology for measuring patients’ perceptions of their hospital experience. The survey is administered to a random sample of adult inpatients between 48 hours and six weeks after discharge. Six summary measures, two individual items, and two global items are publicly reported on the Hospital Compare Web site for each participating hospital. The six composites summarize how well nurses and doctors communicate with patients, how responsive hospital staff are to patients’ needs, how well hospital staff help patients manage pain, how well the staff communicates with patients about medicines, and whether key information is provided at discharge. The two individual items address the cleanliness and quietness of patients’ rooms, while the two global items report patients’ overall rating of the hospital, and whether they would recommend the hospital to family and friends. The new Care Transitions composite will be publicly reported in late 2014. See Appendix B for a full list of HCAHPS Survey items and response options questions. More information about the HCAHPS Survey can be found in the official HCAHPS Online Web site, www.HCAHPSonline.org.
Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) Patient Survey Reporting Cycle The collection period for the HCAHPS measures is 12 months. The HCAHPS measures are typically refreshed quarterly.
Number of Medicare Patients and Medicare Payment Description/Background The payment and volume information reflects inpatient hospital services provided by hospitals to Medicare beneficiaries. CMS has posted this information for the public to view the cost to the Medicare program of treating beneficiaries with certain illnesses in their community and the number of Medicare patients treated. Payment and volume information can provide users with a general overview of hospitals' experience with Medicare Severity Diagnosis Related Groups (MS-DRGs). MS-DRGs are payment groups of patients who have similar clinical characteristics and similar costs. The median payment refers to the midpoint of all payments to the hospital for a particular MS-DRG, that is, half the payments were lower and half the payments were higher than the median payment.
Number of Medicare Patients and Medicare Payment Reporting Cycle The collection period for the Number of Medicare Patients and Medicare Payment measures is 12 months. The Number of Medicare Patients and Medicare Payment measures are typically refreshed annually.
Hospital Readmissions Reduction Program Description/Background In October 2012, CMS began reducing Medicare payments for IPPS hospitals with excess readmissions. Excess readmissions are measured using a ratio, by dividing a hospital’s number of “predicted” 30-day readmissions for AMI, HF, and PN by the number that would be “expected,” based on an average hospital with similar patients. A ratio greater than one indicates excess readmissions. The calculations include only acute care hospitals paid under IPPS and Maryland hospitals.
Hospital Readmissions Reduction Program Reporting Cycle The collection period for the Hospital Readmissions Reduction Program is 36 months. The Hospital Readmissions Reduction Program measures are typically refreshed annually.
Hospital Value-Based Purchasing (HVBP) Description/Background The HVBP program is part of CMS’ long-standing effort to link Medicare’s payment system to quality. The program implements value-based purchasing to the payment system that accounts for the largest share of Medicare spending, affecting payment for inpatient stays in over 3,500 hospitals across the country. Hospitals are paid for inpatient acute care services based on the quality of care, not just quantity of the services they provide. For the first FY of the HVBP Program, two domains will be used to assess hospital performance: 1) Patient Experience of Care and 2) Clinical Process of Care. The Patient Experience of Care domain is comprised of the HCAHPS Survey measures. The Clinical Process of Care domain is comprised of selected IQR Program’s Process of Care measures from the AMI, HAI, HF, PN, and Surgical Care Improvement Project (SCIP) measure sets. A performance score and an improvement score are calculated for each measure, a domain score is then calculated for each of the two domains. The Total Performance Score (TPS) is calculated using the weighted domain scores. For FY 2013 the Clinical Process of Care domain score is weighted as 70 percent of the TPS, and the Patient Experience of Care domain is weighted as 30 percent of the TPS.
Hospital Value-Based Purchasing (HVBP) Reporting Cycle The collection period for HVBP measures is 12 months. The HVBP measures are typically refreshed annually.


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Data Collection Period Information

The Downloadable Databases are refreshed within 24 hours of the Hospital Compare data update as indicated in the bottom left corner of the Hospital Compare home page. For more information, there is a file that provides the measurement dates for each of the measure types being reported in that file. A sample of the measurement date file is shown below:

HospitalCompareDataCollectionPeriod.png


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Hospital Compare Downloadable Database

HospitalCompareDownloadableDatabase.png

The Downloadable Database Interface page has six sections:

  • Header – In the header of the screen you will see the name of the Downloadable Database you have selected and the last date that database was updated in the database repository. This date should be the same as the date shown in the “Additional Information” section of the Hospital Compare home page.
  • There are four formats of the Hospital Compare data available from the Downloadable Database interface. Each database is a zip file containing multiple files.
    • 1. Interactive – You can go to Data.Medicare.gov and view the data within your browser.
    • 2. Microsoft Access Database – Allows you to download a single database that has multiple tables containing various datasets.
    • 3. CSV Flat File – Allows you to download a series of CSV files that have the same names and data as is stored in the Access database.
    • 4. CSV Flat File - Revised Format – Allows you to download a series of CSV files that have the same data as the other two formats but is translated to plain English rather than technical attributes. Data are also grouped differently to meet the needs of differing user groups. The data in the Revised CSV files are the same as the data available from Data.Medicare.gov.
  • The footer section of the Downloadable Data Interface provides links to download the following complementary applications:
    • Microsoft Access Viewer, which allows users that do not have Microsoft Access installed on their workstation to interact with the Access database data.
    • Winzip and PKUnzip, which allow the users to unzip the zipped files that contain the downloadable data.

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Access and CSV Downloadable File Contents

When looking at the Access table names and CSV file names, the following acronyms tell the type of data reported in a given table.

 

Acronym Meaning
FTNT Footnote
HCAHPS Hospital Consumer Assessment of Healthcare Providers and Systems
IMG Imaging
IMM Immunizations
MSR Measure
READM Readmissions
MPV Medicare Payments and Volume
SPP Spending per Patient

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Access and CSV Data File Summary

My Note: See Spreadsheet

The table below shows the titles of the Access table names and CSV file names.

Access Table Names CSV Data File Names (.csv) URL
MSAccess file name: Hospital.zip CSV file Name: Hospital_flatfiles.zip http://semanticommunity.info/@api/deki/files/31883/Hospital_flatfiles.zip?origin=mt-web
Hospital.pdf Hospital_flatfiles.pdf http://semanticommunity.info/@api/deki/files/31885/Hospital.pdf?origin=mt-web
Readme.txt Readme.txt http://semanticommunity.info/@api/deki/files/31907/readme.txt?origin=mt-web
dbo_vwHQI_HOSP HQI_HOSP http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#vwHQI_HOSP_AHRQ_and_HQI_HOSP_AHRQ
vwMeasure_Dates HQI_HOSP_MSR_DT http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#vwHQI_HOSP_AHRQ_and_HQI_HOSP_AHRQ
dbo_vwHQI_FTNT HQI_FTNT http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#vwHQI_HOSP_AHRQ_and_HQI_HOSP_AHRQ
vwHQI_HOSP_AHRQ HQI_HOSP_AHRQ http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#vwHQI_HOSP_AHRQ_and_HQI_HOSP_AHRQ
vwHQI_HOSP_AHRQ_STATE HQI_HOSP_AHRQ_STATE http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#vwHQI_HOSP_AHRQ_STATE_and_HOSP_AHRQ_STATE
vwHQI_HOSP_AHRQ_NATIONAL HQI_HOSP_AHRQ_NATIONAL http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#vwHQI_HOSP_AHRQ_NATIONAL_and_HQI_HOSP_AHRQ_NATIONAL
dbo_vwHQI_HOSP_ED HQI_HOSP_ED http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#dbo_vwHQI_HOSP_ED_and_HQI_HOSP_ED
vwHQI_HOSP_ED_State HQI_HOSP_ED_State http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#vwHQI_HOSP_ED_State_and_HQI_HOSP_ED_State
vwHQI_HOSP_ED_National HQI_HOSP_ED_US http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#vwHQI_HOSP_ED_National_and_HQI_HOSP_ED_US
vwHQI_HOSP_HAC HQI_HOSP_HAC http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#vwHQI_HOSP_HAC_and_HQI_HOSP_HAC
vwHQI_HOSP_HAC_NATIONAL HQI_HOSP_HAC_NATIONAL http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#vwHQI_HOSP_HAC_NATIONAL_and_HQI_HOSP_HAC_NATIONAL
vwHQI_HOSP_HAI HQI_HOSP_HAI http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#vwHQI_HOSP_HAI_and__HQI_HOSP_HAI
vwHQI_HOSP_HAI_STATE HQI_HOSP_HAI_State http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#vwHQI_HOSP_HAI_STATE_and_HQI_HOSP_HAI_STATE
vwHQI_HOSP_HAI_National HQI_HOSP_HAI_National http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#vwHQI_HOSP_HAI_National_and_HQI_HOSP_HAI_National
dbo_vwHQI_HOSP_HCAHPS_MSR HQI_HOSP_HCAHPS_MSR http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#dbo_vwHQI_HOSP_HCAHPS_MSR_and_HQI_HOSP_HCAHPS_MSR
dbo_vwHQI_STATE_HCAHPS_MSR HQI_STATE_HCAHPS_MSR http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#dbo_vwHQI_STATE_HCAHPS_MSR_and_HQI_STATE_HCAHPS_MSR
dbo_vwHQI_US_NATIONAL_HCAHPS_MSR HQI_US_NATIONAL_HCAHPS_MSR http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#dbo_vwHQI_US_NATIONAL_HCAHPS_MSR_and_HQI_US_NATIONAL_HCAHPS_MSR
Hvbp_ami_02_07_2013 hvbp_ami_02_07_2013 http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#Hvbp_ami__02_07_2013_and_hvbp_ami_02_07_2013
Hvbp_hai_02_07_2013 hvbp_hai_02_07_2013 http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#Hvbp_hai_02_07_2013_and_hvbp_hai_02_07_2013
Hvbp_hcahps_02_07_2013 hvbp_hcahps_02_07_2013 http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#Hvbp_hcahps_02_07_2013_and_hvbp_hcahps_02_07_2013
Hvbp_hf_02_07_2013 hvbp_hf_02_07_2013 http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#Hvbp_hf_02_07_2013_and_hvbp_hf_02_07_2013
Hvbp_pn_02_07_2013 hvbp_pn_02_07_2013 http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#Hvbp_pn_02_07_2013_and_hvbp_pn_02_07_2013
Hvbp_scip_02_07_2013 hvbp_scip_02_07_2013 http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#Hvbp_scip_02_07_2013_and_hvbp_scip_02_07_2013
Hvbp_tps_02_07_2013 hvbp_tps_02_07_2013 http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#Hvbp_tps_02_07_2013_and_hvbp_tps_02_07_2013
dbo_vwHQI_HOSP_IMG_XWLK HQI_HOSP_IMG_XWLK http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#dbo_vwHQI_HOSP_IMG_XWLK_and_HQI_HOSP_IMG_XWLK
dbo_vwHQI_STATE_IMG_AVG HQI_STATE_IMG_AVG http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#dbo_vwHQI_STATE_IMG_AVG_and_HQI_STATE_IMG_AVG
dbo_vwHQI_US_NATIONAL_IMG_AVG HQI_US_NATIONAL_IMG_AVG http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#dbo_vwHQI_US_NATIONAL_IMG_AVG_and_HQI_US_NATIONAL_IMG_AVG
dbo_vwHQI_HOSP_IMM HQI_HOSP_IMM http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#dbo_vwHQI_HOSP_IMM_and_HQI_HOSP_IMM
vwHQI_HOSP_IMM_State HQI_HOSP_IMM_State http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#vwHQI_HOSP_IMM_State_and_HQI_HOSP_IMM_State
vwHQI_HOSP_IMM_National HQI_HOSP_IMM_US http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#vwHQI_HOSP_IMM_National_and_HQI_HOSP_IMM_US
dbo_vwHQI_HOSP_MORTALITY_READM_XWLK HQI_HOSP_MORTALITY_READM_XWLK http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#dbo_vwHQI_HOSP_MORTALITY_READM_XWLK_and_HQI_HOSP_MORTALITY_READM_XWLK
dbo_vwHQI_STATE_MORTALITY_READM_SCRE HQI_STATE_MORTALITY_READM_SCRE http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#dbo_vwHQI_STATE_MORTALITY_READM_SCRE_and_HQI_STATE_MORTALITY_READM_SCRE
dbo_vwHQI_US_NATIONAL_MORTALITY_READM_RATE HQI_US_NATIONAL_MORTALITY_READM_RATE http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#dbo_vwHQI_US_NATIONAL_MORTALITY_READM_RATE_and_HQI_US_NATIONAL_MORTALITY_READM_RATE
dbo_vwHQI_HOSP_MPV_MSR HQI_HOSP_MPV_MSR http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#dbo_vwHQI_HOSP_MPV_MSR_and_HQI_HOSP_MPV_MSR
dbo_vwHQI_STATE_MPV_MSR HQI_STATE_MPV_MSR http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#dbo_vwHQI_STATE_MPV_MSR_and_HQI_STATE_MPV_MSR
dbo_vwHQI_US_NATIONAL_MPV_MSR HQI_US_NATIONAL_MPV_MSR http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#dbo_vwHQI_US_NATIONAL_MPV_MSR_and_HQI_US_NATIONAL_MPV_MSR
vwHQI_HOSP_SPP HQI_HOSP_SPP http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#vwHQI_HOSP_SPP_and_HQI_HOSP_SPP
dbo_vwHQI_HOSP_SPP_State HQI_HOSP_SPP_State http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#dbo_vwHQI_HOSP_SPP_State_and_HQI_HOSP_SPP_State
dbo_vwHQI_HOSP_SPP_National HQI_HOSP_SPP_National http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#dbo_vwHQI_HOSP_SPP_National_and_HQI_HOSP_SPP_National
dbo_vwHQI_HOSP_STRUCTURAL_XWLK HQI_HOSP_STRUCTURAL_XWLK http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#dbo_vwHQI_HOSP_STRUCTURAL_XWLK_and_HQI_HOSP_STRUCTURAL_XWLK
vwHQI_READM_REDUCTION HQI_READM_REDUCTION http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#vwHQI_READM_REDUCTION_and_HQI_READM_REDUCTION
dbo_vwHQI_HOSP_MSR_XWLK HQI_HOSP_MSR_XWLK http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#dbo_vwHQI_HOSP_MSR_XWLK_and_HQI_HOSP_MSR_XWLK
dbo_vwHQI_STATE_MSR_AVG HQI_STATE_MSR_AVG http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#dbo_vwHQI_STATE_MSR_AVG_and_HQI_STATE_MSR_AVG
dbo_vwHQI_US_National_MSR_AVG HQI_US_National_MSR_AVG http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#dbo_vwHQI_US_National_MSR_AVG_and_HQI_US_National_MSR_AVG
dbo_vwHQI_PCTL_MSR_XWLK HQI_PCTL_MSR_XWLK http://semanticommunity.info/Data_Science/Data_Science_for_HealthData.gov_Developers#dbo_vwHQI_PCTL_MSR_XWLK_and_HQI_PCTL_MSR_XWLK


Hospital.Docx Page 11 of 80
Last Saved: April 25, 2013

Access and CSV Data Content Summary

My Note: These are the data dictionaries of the 45 individual files

Note: Fields having the data type of “memo” do not require a length. They allow the user to input large amounts of text without limit. Fields having the data type of “Text” require the corresponding length provided.

Table Name (Back to Table Listing) Physical: Access Physical: CSV Flat Files Business

dbo_vwHQI_HOSP and HQI_HOSP

​Physical: Access

Physical: CSV Flat Files

Business: Hospital Characteristics

Description: General information on hospitals within the dataset

Column Name

DDB Data Type

Provider Number

Memo

Hospital Name Memo
Address1 Memo
Address2 Memo
Address3 Memo
City

Memo

State Text(2)
ZIP Code Text(5)
County Name Text(25)

Phone Number

Text(10)

Hospital Type Text(50)
Hospital Ownership Text(100)
Emergency Service Text(50)

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vwMeasure_Dates and HQI_HOSP_MSR_DT

​Physical: Access
Physical: CSV Flat Files
Business: Measure Data Collection Periods
Description: Current collection dates for available measures included in the Downloadable Database

Column Name

DDB Data Type

msr_cd Memo
msr_strt_qtr Memo
msr_strt_dt Memo
msr_end_qtr Memo
msr_end_dt Memo

 

dbo_vwHQI_FTNT and HQI_FTNT

​Physical: Access
Physical: CSV Flat Files
Business: Footnotes
Description: Look up table for footnote text in the various data files

Column Name

DDB Data Type

Footnote Text (50)
Footnote Text Memo
vwHQI_HOSP_AHRQ and HQI_HOSP_AHRQ

​Physical: Access
Physical: CSV Flat Files
Business: AHRQ PSI and IQI Hospital Results
Description: AHRQ PSI and IQI measures hospital-level results

Column Name

DDB Data Type

Prvdr_id Memo
PSI_4_SURG_COMP Memo
PSI_4_SURG_COMP_F Memo
PSI_6_IAT_PTX Memo
PSI_6_IAT_PTX_F Memo
PSI_11_POSTOP_RESPFAIL

Memo

PSI_11_POSTOP_RESPFAIL_F Memo
PSI_12_POSTOP_PULMEMB_DVT Memo
PSI_12_POSTOP_PULMEMB_DVT_F

Memo

PSI_14_POSTOP_DEHIS Memo
PSI_14_POSTOP_DEHIS_F Memo
PSI_15_ACC_LAC Memo
PSI_15_ACC_LAC_F Memo
PSI_90_SAFETY Memo
PSI_90_SAFETY_F Memo
IQI_11_AAA Memo
IQI_11_AAA_F Memo
IQI_19_HIP_FX Memo
IQI_19_HIP_FX_F Memo
IQI_91_CONDS Memo
IQI_91_CONDS_F Memo
PSI_4_SURG_COMP_NUM_DC

Memo

PSI_4_SURG_COMP_RATE Memo
PSI_4_SURG_COMP_LOW_EST

Memo

PSI_4_SURG_COMP_HIGH_EST Memo

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vwHQI_HOSP_AHRQ and HQI_HOSP_AHRQ

​Physical: Access
Physical: CSV Flat Files
Business: AHRQ PSI and IQI Hospital Results
Description: AHRQ PSI and IQI measures hospital-level results 

Column Name

DDB Data Type

PSI_6_IAT_PTX_NUM_DC Memo
PSI_6_IAT_PTX_RATE Memo
PSI_6_IAT_PTX_LOW_EST Memo
PSI_6_IAT_PTX_HIGH_EST Memo
PSI_11_POSTOP_RESPFAIL_NUM_DC Memo
PSI_11_POSTOP_RESPFAIL_RATE Memo
PSI_11_POSTOP_RESPFAIL_LOW_EST Memo
PSI_11_POSTOP_RESPFAIL_HIGH_EST Memo
PSI_12_POSTOP_PULMEMB_DVT_NUM_DC Memo
PSI_12_POSTOP_PULMEMB_DVT_RATE Memo
PSI_12_POSTOP_PULMEMB_DVT_LOW_EST Memo
PSI_12_POSTOP_PULMEMB_DVT_HIGH_EST Memo
PSI_14_POSTOP_DEHIS_NUM_DC Memo
PSI_14_POSTOP_DEHIS_RATE Memo
PSI_14_POSTOP_DEHIS_LOW_EST Memo
PSI_14_POSTOP_DEHIS_HIGH_EST Memo
PSI_15_ACC_LAC_NUM_DC Memo
PSI_15_ACC_LAC_RATE Memo
PSI_15_ACC_LAC_LOW_EST Memo
PSI_15_ACC_LAC_HIGH_EST Memo
PSI_90_SAFETY_NUM_DC Memo
PSI_90_SAFETY_RATE Memo
PSI_90_SAFETY_LOW_EST Memo
PSI_90_SAFETY_HIGH_EST Memo
IQI_11_AAA_NUM_DC Memo
IQI_11_AAA_RATE Memo
IQI_11_AAA_LOW_EST Memo
IQI_11_AAA_HIGH_EST Memo
IQI_19_HIP_FX_NUM_DC Memo
IQI_19_HIP_FX_RATE Memo
IQI_19_HIP_FX_LOW_EST Memo
IQI_19_HIP_FX_HIGH_EST Memo
IQI_91_CONDS_NUM_DC Memo
IQI_91_CONDS_RATE Memo
IQI_91_CONDS_LOW_EST Memo
IQI_91_CONDS_HIGH_EST Memo
vwHQI_HOSP_AHRQ_STATE and HOSP_AHRQ_STATE

​Physical: Access
Physical: CSV Flat Files
Business: AHRQ PSI and IQI State Results
Description: AHRQ PSI and IQI measures state-level results

Column Name

DDB Data Type

State

Memo
PSI_4_SURG_COMP_WORSE Memo
PSI_4_SURG_COMP_SAME Memo
PSI_4_SURG_COMP_BETTER Memo
PSI_4_SURG_COMP_TOOFEW Memo
PSI_6_IAT_PTX_WORSE Memo
PSI_6_IAT_PTX_SAME Memo
PSI_6_IAT_PTX_BETTER Memo
PSI_6_IAT_PTX_TOOFEW Memo
PSI_11_POSTOP_RESPFAIL_WORSE Memo
PSI_11_POSTOP_RESPFAIL_SAME Memo
PSI_11_POSTOP_RESPFAIL_BETTER Memo
PSI_11_POSTOP_RESPFAIL_TOOFEW Memo
PSI_12_POSTOP_PULMEMB_DVT_WORSE Memo
PSI_12_POSTOP_PULMEMB_DVT_SAME Memo
PSI_12_POSTOP_PULMEMB_DVT_BETTER Memo
PSI_12_POSTOP_PULMEMB_DVT_TOOFEW Memo
PSI_14_POSTOP_DEHIS_WORSE Memo
PSI_14_POSTOP_DEHIS_SAME Memo
PSI_14_POSTOP_DEHIS_BETTER Memo
PSI_14_POSTOP_DEHIS_TOOFEW Memo
PSI_15_ACC_LAC_WORSE Memo
PSI_15_ACC_LAC_SAME Memo
PSI_15_ACC_LAC_BETTER Memo
PSI_15_ACC_LAC_TOOFEW Memo
PSI_90_SAFETY_WORSE Memo
PSI_90_SAFETY_SAME Memo
PSI_90_SAFETY_BETTER Memo
PSI_90_SAFETY_TOOFEW Memo
IQI_11_AAA_WORSE Memo
IQI_11_AAA_SAME Memo
IQI_11_AAA_BETTER Memo
IQI_11_AAA_TOOFEW Memo
IQI_19_HIP_FX_WORSE Memo
IQI_19_HIP_FX_SAME Memo
IQI_19_HIP_FX_BETTER Memo
IQI_19_HIP_FX_TOOFEW Memo
IQI_91_CONDS_WORSE Memo
IQI_91_CONDS_SAME Memo
IQI_91_CONDS_BETTER Memo
IQI_91_CONDS_TOOFEW Memo
   


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Hospital.Docx Page 15 of 80
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vwHQI_HOSP_AHRQ_NATIONAL and HQI_HOSP_AHRQ_NATIONAL

​Physical: Access
Physical: CSV Flat Files
Business: AHRQ PSI and IQI National Results
Description: AHRQ PSI and IQI measures national results

Column Name

DDB Data Type

MSR_CD Memo
NATIONAL Memo
PSI_NATIONAL_SCR Memo
IQI_NATIONAL_SCR Memo
dbo_vwHQI_HOSP_ED and HQI_HOSP_ED

​Physical: Access
Physical: CSV Flat Files
Business:Process of Care — Emergency Department Hospital Results
Description: Process of Care—Emergency Department measures hospital-level results

Column Name

DDB Data Type

prvdr_id

Memo

msr_cd Memo
scr Memo
footnote Memo

Sample

Memo


Hospital.Docx Page 16 of 80
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vwHQI_HOSP_ED_State and HQI_HOSP_ED_State

​Physical: Access
Physical: CSV Flat Files
Business:Process of Care — Emergency Department State Results
Description: Process of Care—Emergency Department measures state-level results 

Column Name

DDB Data Type

prvdr_id (Two character state abbreviaton) Memo
msr_cd Memo
scr

Memo

footnote

Memo

vwHQI_HOSP_ED_National and HQI_HOSP_ED_US

​Physical: Access
Physical: CSV Flat Files
Business:Process of Care — Emergency Department National Results
Description: Process of Care—Emergency Department measures national results

Column Name

DDB Data Type

prvdr_id

Memo
msr_cd Memo

scr

Memo

footnote

Memo

vwHQI_HOSP_HAC and HQI_HOSP_HAC

​Physical: Access
Physical: CSV Flat Files
Business: Hospital-Acquired Conditions Hospital Results
Description: Hospital-Acquired Conditions measures hospital-level results

Column Name

DDB Data Type

prvdr_id

Memo

msr_cd

Memo
scr Memo
vwHQI_HOSP_HAC_NATIONAL and HQI_HOSP_HAC_NATIONAL

​Physical: Access
Physical: CSV Flat Files
Business: Hospital-Acquired Conditions National Results
Description: Hospital-Acquired Conditions measures national results

Column Name

DDB Data Type

msr_cd

Memo

scr

Memo


Hospital.Docx Page 17 of 80
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vwHQI_HOSP_HAI and  HQI_HOSP_HAI

​Physical: Access
Physical: CSV Flat Files
Business: Healthcare-Associated Infections Hospital Results
Description: Healthcare-Associated Infections measures hospital-level results

Column Name

DDB Data Type

prvdr_id Memo
msr_cd Memo
scr Memo

footnote

Memo
vwHQI_HOSP_HAI_STATE and HQI_HOSP_HAI_STATE

​Physical: Access
Physical: CSV Flat Files
Business: Healthcare-Associated Infections State Results
Description: Healthcare-Associated Infections measures state-level results 

Column Name

DDB Data Type

state (Two digit state abbreviation)

Memo

msr_cd Memo

scr

Memo
footnote Memo
vwHQI_HOSP_HAI_National and HQI_HOSP_HAI_National

​Physical: Access
Physical: CSV Flat Files
Business: Healthcare-Associated Infections National Results
Description: Healthcare-Asssicoated Infections measures national results

Column Name

DDB Data Type

prvdr_id (Defaults to NATION) Memo
msr_cd Memo
scr Memo

footnote

Memo
dbo_vwHQI_HOSP_HCAHPS_MSR and HQI_HOSP_HCAHPS_MSR

​Physical: Access
Physical: CSV Flat Files
Business: HCAHPS Hospital Results
Description: HCAHPS measures hospital-level results

Column Name

DDB Data Type

Provider Number

Memo
Hospital Name Memo

State

Text(2)
HCAHPS Measure Code Text(25)
HCAHPS Question Memo
HCAHPS Answer Description Memo
HCAHPS Answer Percent Text(50)
Number of Completed Surveys Text(50)
Survey Response Rate Percent Text(50)

Footnote

Memo


Hospital.Docx Page 18 of 80
Last Saved: April 25, 2013

dbo_vwHQI_STATE_HCAHPS_MSR and HQI_STATE_HCAHPS_MSR

​Physical: Access
Physical: CSV Flat Files
Business: HCAHPS State Results
Description: HCAHPS measures state-level results

Column Name

DDB Data Type

State

Text(50)
HCAHPS Question Memo
HCAHPS Measure Code Text(25)
HCAHPS Answer Description Memo
HCAHPS Answer Percent Text(50)
dbo_vwHQI_US_NATIONAL_HCAHPS_MSR and HQI_US_NATIONAL_HCAHPS_MSR

​Physical: Access
Physical: CSV Flat Files
Business: HCAHPS National Results
Description: HCAHPS measures national results

Column Name

DDB Data Type

HCAHPS Measure Code Text(25)
HCAHPS Question Memo
HCAHPS Answer Description Memo
HCAHPS Answer Percent Text(50)
Hvbp_ami _02_07_2013 and hvbp_ami_02_07_2013

​Physical: Access
Physical: CSV Flat Files
Business: HVBP Process of Care—AMI Results
Description: Hospital Value-Based Purchasing Acute Myocardial Infarction results

Column Name

DDB Data Type

Provider Number

Memo
Hospital Name Memo
Address Memo
City Memo
State Memo

ZIP Code

Memo

County Name

Memo
AMI-7a Performance Rate Memo
AMI-7a Achievement Points Memo
AMI-7a Improvement Points Memo
AMI-7a Measure Score Memo
AMI-8a Performance Rate Memo
AMI-8a Achievement Points Memo
AMI-8a Improvement Points Memo
AMI-8a Measure Score Memo
AMI Condition/Procedure Score Memo
Hvbp_hai_02_07_2013 and hvbp_hai_02_07_2013

​Physical: Access
Physical: CSV Flat Files
Business: ​HVBP Healthcare-Associated Infections Results
Description: Hospital Value-Based Purchasing Healthcare-Associated Infections results

Column Name

DDB Data Type

Provider Number Memo
Hospital Name Memo
Address Memo

City

Memo
State Memo
ZIP Code Memo
County Name Memo
SCIP-Inf-1 Performance Rate Memo
SCIP-Inf-1 Achievement Points Memo
SCIP-Inf-1 Improvement Points Memo
SCIP-Inf-1 Measure Score Memo
SCIP-Inf-2 Performance Rate Memo
SCIP-Inf-2 Achievement Points Memo
SCIP-Inf-2 Improvement Points Memo
SCIP-Inf-2 Measure Score

Memo

SCIP-Inf-3 Performance Rate Memo
SCIP-Inf-3 Achievement Points Memo
SCIP-Inf-3 Improvement Points Memo
SCIP-Inf-3 Measure Score Memo
SCIP-Inf-4 Performance Rate Memo
SCIP-Inf-4 Achievement Points Memo
SCIP-Inf-4 Improvement Points Memo
SCIP-Inf-4 Measure Score Memo
HAI Condition/Procedure Score Memo

Hospital.Docx Page 19 of 80

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Hospital.Docx Page 20 of 80
Last Saved: April 25, 2013

Hvbp_hcahps_02_07_2013 and hvbp_hcahps_02_07_2013

​Physical: Access
Physical: CSV Flat Files
Business: HVBP HCAHPS Results
Description: Hospital Value-Based Purchasing HCAHPS results 

Column Name

DDB Data Type

Provider Number

Memo

Hospital Name

Memo

Address

Memo

City

Memo
State Memo

ZIP Code

Memo

County Name

Memo
Communication with Nurses Achievement Points

Memo

Communication with Nurses Improvement Points

Memo

Communication with Nurses Dimension Score

Memo

Communication with Doctors Achievement Points

Memo
Communication with Doctors Improvement Points Memo
Communication with Doctors Dimension Score Memo
Responsiveness of Hospital Staff Achievement Points Memo

Responsiveness of Hospital Staff Improvement Points

Memo
Responsiveness of Hospital Staff Dimension Score Memo

Pain Management Achievement Points

Memo
Pain Management Improvement Points

Memo

Pain Management Dimension Score Memo

Communication about Medicines Achievement Points

Memo

Communication about Medicines Improvement Points

Memo

Communication about Medicines Dimension Score

Memo

Cleanliness and Quietness of Hospital Environment Achievement Points

Memo
Cleanliness and Quietness of Hospital Environment Improvement Points Memo

Cleanliness and Quietness of Hospital Environment Dimension Score

Memo

Discharge Information Achievement Points Memo
Discharge Information Improvement Points Memo
Discharge Information Dimension Score Memo
Overall Rating of Hospital Achievement Points Memo

Overall Rating of Hospital Improvement Points

Memo

Overall Rating of Hospital Dimension Score Memo
HCAHPS Base Score Memo
HCAHPS Consistency Score Memo

Hospital.Docx Page 21 of 80
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Hvbp_hf_02_07_2013 and hvbp_hf_02_07_2013

​Physical: Access
Physical: CSV Flat Files
Business: HVBP Process of Care—Heart Failure Results
Description: Hospital Value-Based Purchasing Process of Care—Heart Failure results

Column Name

DDB Data Type

Provider Number

Memo
Hospital Name Memo
Address Memo
City Memo
State Memo
ZIP Code Memo
County Name Memo
HF-1 Performance Rate Memo
HF-1 Achievement Points Memo
HF-1 Improvement Points Memo
HF-1 Measure Score Memo
HF-1 Condition/Procedure Score Memo
Hvbp_pn_02_07_2013 and hvbp_pn_02_07_2013

​Physical: Access
Physical: CSV Flat Files
Business: HVBP Process of Care— Pneumonia Results
Description: Hospital Value-Based Purchasing Process of Care—Pneumonia measure results

Column Name

DDB Data Type

Provider Number

Memo
Hospital Name Memo
Address Memo
City Memo
State Memo
ZIP Code Memo
County Name Memo
PN-3b Performance Rate Memo
PN-3b Achievement Points Memo
PN-3b Improvement Points Memo
PN-3b Measure Score Memo
PN-6 Performance Rate Memo
PN-6 Achievement Points Memo
PN-6 Improvement Points Memo
PN-6 Measure Score Memo
PN Condition/Procedure Score Memo

Hospital.Docx Page 22 of 80
Last Saved: April 25, 2013

Hvbp_scip_02_07_2013 and hvbp_scip_02_07_2013

​Physical: Access
Physical: CSV Flat Files
Business: HVBP Process of Care—Surgical Improvement Care Program Results
Description: Hospital Value-Based Purchasing Process of Care—Surgical Improvement Care Program results

Column Name

DDB Data Type

Provider Number

Memo
Hospital Name Memo
Address Memo
City Memo
State Memo
ZIP Code Memo
County Name Memo
SCIP-Card-2 Performance Rate Memo
SCIP-Card-2 Achievement Points Memo
SCIP-Card-2 Improvement Points Memo
SCIP-Card-2 Measure Score Memo
SCIP-VTE-1 Performance Rate Memo
SCIP-VTE-1 Achievement Points Memo
SCIP-VTE-1 Improvement Points Memo
SCIP-VTE-1 Measure Score Memo
SCIP-VTE-2 Performance Rate Memo
SCIP-VTE-2 Achievement Points Memo
SCIP-VTE-2 Improvement Points Memo
SCIP-VTE-2 Measure Score Memo
SCIP Condition/Procedure Score Memo
Hvbp_tps_02_07_2013 and hvbp_tps_02_07_2013

​Physical: Access
Physical: CSV Flat Files
Business: HVBP Total Performance Score Results
Description: Overall performance score for Hospital Value-Based Purchasing

Column Name

DDB Data Type

Provider Number

Memo
Hospital Name Memo
Address Memo
City Memo

State

Memo
ZIP Code Memo
County Name Memo
Unweighted Normalized Clinical Process of Care Domain Score Memo
Weighted Clinical Process of Care Domain Score Memo

Unweighted Patient Experience of Care Domain Score

Memo
Weighted Patient Experience of Care Domain Score Memo
Total Performance Score Memo
dbo_vwHQI_HOSP_IMG_XWLK and HQI_HOSP_IMG_XWLK

​Physical: Access
Physical: CSV Flat Files
Business: Outpatient Imaging Efficiency Hospital Results
Description: Outpatient Imaging Efficiency measures hospital-level results

Column Name

DDB Data Type

Provider Number Memo
Hospital Name Memo
State Text(2)
Condition Text(22)
Measure Code Text(25)
Measure Name Memo
Score Text(50)
Sample Text(50)
Footnote Text(50)

Hospital.Docx Page 23 of 80
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dbo_vwHQI_STATE_IMG_AVG and HQI_STATE_IMG_AVG

​Physical: Access
Physical: CSV Flat Files
Business: Outpatient Imaging Efficiency State Results
Description: Outpatient Imaging Efficiency measures state-level results

Column Name

DDB Data Type

State

Text(50)
Condition Text(22)
Measure Code

Text(25)

Measure Name

Memo
Score Text(50)
dbo_vwHQI_US_NATIONAL_IMG_AVG and HQI_US_NATIONAL_IMG_AVG

​Physical: Access
Physical: CSV Flat Files
Business: Outpatient Imaging Efficiency National Results
Description: Outpatient Imaging Efficiency measures national results

Column Name

DDB Data Type

Condition

Text(22)
Measure Code Text(25)
Measure Name

Memo

Score

Text(50)

Hospital.Docx Page 24 of 80
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dbo_vwHQI_HOSP_IMM and HQI_HOSP_IMM

​Physical: Access
Physical: CSV Flat Files
Business: Process of Care — Immunization Hospital Results
Description: Process of Care—Immunization measures hospital-level results

Column Name

DDB Data Type

prvdr_id

Memo
msr_cd Memo
Scr Memo
footnote Memo
Sample Memo
vwHQI_HOSP_IMM_State and HQI_HOSP_IMM_State

​Physical: Access
Physical: CSV Flat Files
Business: Process of Care — Immunization State Results
Description: Process of Care—Immunization measures state-level results

Column Name

DDB Data Type

prvdr_id (Two character state abbreviaton) Memo
msr_cd Memo
scr Memo
footnote Memo
vwHQI_HOSP_IMM_National and HQI_HOSP_IMM_US

​Physical: Access
Physical: CSV Flat Files
Business: Process of Care — Immunization National Results
Description: Process of Care — Immunization measures national results

Column Name

DDB Data Type

prvdr_id

Memo
msr_cd Memo
scr Memo
footnote Memo
dbo_vwHQI_HOSP_MORTALITY_READM_XWLK and HQI_HOSP_MORTALITY_READM_XWLK

​Physical: Access
Physical: CSV Flat Files
Business: 30-Day Mortality and Readmission Hospital Results
Description: 30-Day Mortality and Readmission measures hospital-level results

Column Name

DDB Data Type

Provider Number

Memo
Hospital Name Memo
State Text(2)
Condition Text(13)
Measure Name Memo
Mortality_Readm Rate Text(50)
Comparison to National Rate Text(50)
Lower Mortality_Readm Estimate Text(50)
Upper Mortality_Readm Estimate Text(50)

Number of Patients

Text(50)
Footnote Text(50)

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dbo_vwHQI_STATE_MORTALITY_READM_SCRE and HQI_STATE_MORTALITY_READM_SCRE

​Physical: Access
Physical: CSV Flat Files
Business: 30-Day Mortality and Readmission State Results
Description: 30-Day Mortality and Readmission measures state-level results

Column Name

DDB Data Type

State

Text(50)

Condition

Memo
Measure Name Memo
Category Text(36)
Number of Hospitals Text(50)
dbo_vwHQI_US_NATIONAL_MORTALITY_READM_RATE and HQI_US_NATIONAL_MORTALITY_READM_RATE

​Physical: Access
Physical: CSV Flat Files
Business: 30-Day Mortality and Readmission National Results
Description: 30-Day Mortality and Readmission measures national results

Column Name

DDB Data Type

Condition

Memo
Measure Name Memo
National Mortality_Readm Rate Text(50)
dbo_vwHQI_HOSP_MPV_MSR and HQI_HOSP_MPV_MSR

​Physical: Access
Physical: CSV Flat Files
Business: Medicare Volume Hospital Results
Description: Medicare Volume measures hospital-level results

Column Name

DDB Data Type

Provider Number

Memo
Hospital Name Memo

State

Text(2)
Diagnosis Related Group ID Text(25)
Diagnosis Related Group Name Memo
Number Of Cases Text(50)
dbo_vwHQI_STATE_MPV_MSR and HQI_STATE_MPV_MSR

​Physical: Access
Physical: CSV Flat Files
Business: Medicare Volume State Results
Description: Medicare Volume measures state-level results

Column Name

DDB Data Type

State

Text(50)

Diagnosis Related Group ID

Text(25)
Diagnosis Related Group Name Memo
Number Of Cases Text(50)
dbo_vwHQI_US_NATIONAL_MPV_MSR and HQI_US_NATIONAL_MPV_MSR

​Physical: Access
Physical: CSV Flat Files
Business: Medicare Volume National Results
Description: Medicare Volume measures national results

Column Name

DDB Data Type

State (Defaults to NATION) Text(50)
Diagnosis Related Group ID Text(25)
Diagnosis Related Group Name Memo
Number Of Cases Text(50)


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vwHQI_HOSP_SPP and HQI_HOSP_SPP

​Physical: Access
Physical: CSV Flat Files
Business: Medicare Spending Per Patient Hospital Results
Description: Medicare Spending Per Patient measure hospital-level results

Column Name

DDB Data Type

prvdr_id

Memo
scr Memo
msr_cd Memo
ftnt_id Memo
dbo_vwHQI_HOSP_SPP_State and HQI_HOSP_SPP_State

​Physical: Access
Physical: CSV Flat Files
Business: Medicare Spending Per Patient State Results
Description: Medicare Spending Per Patient measure state-level results

Column Name

DDB Data Type

prvdr_id

Memo
msr_cd Memo
scr Memo
ftnt_value Memo
dbo_vwHQI_HOSP_SPP_National and HQI_HOSP_SPP_National

​Physical: Access
Physical: CSV Flat Files
Business: Medicare Spending Per Patient National Results
Description: Medicare Spending Per Patient measure national results

Column Name

DDB Data Type

prvdr_id

Memo
msr_cd Memo
scr Memo
ftnt_value Memo
dbo_vwHQI_HOSP_STRUCTURAL_XWLK and HQI_HOSP_STRUCTURAL_XWLK

​Physical: Access
Physical: CSV Flat Files
Business: Structural Hospital Results
Description: Structural measures hospital-level results

Column Name

DDB Data Type

Provider Number

Memo
Hospital Name Memo
State

Text(2)

Measure Code Text(25)
Measure Name Memo
Measure Response Text(50)

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vwHQI_READM_REDUCTION and HQI_READM_REDUCTION

​Physical: Access
Physical: CSV Flat Files
Business: Readmission Reduction Hospital Results
Description: Readmission Reduction measures hospital-level results

Column Name

DDB Data Type

Hospital Name

Text(255)

Provider Number

Text(255)

State

Text(255)
Measure Name Text(255)
Number of Discharges Text(255)
Footnote Text(255)
Excess Readmission Ratio Text(255)
Predicted Readmission Rate Text(255)
Expected Readmission Rate Text(255)
Number of Readmissions Text(255)
Start Date Text(255)
End Date Text(255)
dbo_vwHQI_HOSP_MSR_XWLK and HQI_HOSP_MSR_XWLK

​Physical: Access
Physical: CSV Flat Files
Business: Process of Care Hospital Results
Description: Process of Care measures hospital-level results

Column Name

DDB Data Type

Provider Number

Memo

Hospital Name

Memo

State

Text(2)

Condition

Memo

Measure Code

Text(25)

Measure Name

Memo

Score

Text(50)

Sample

Text(50)

Footnote

Memo

dbo_vwHQI_STATE_MSR_AVG and HQI_STATE_MSR_AVG

​Physical: Access
Physical: CSV Flat Files
Business: Process of Care State Results
Description: Process of Care measures state-level results

Column Name

DDB Data Type

State

Text(50)

Condition

Memo

Measure Name

Memo

Measure Code

Text(25)

Score

Text(50)

   

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dbo_vwHQI_US_National_MSR_AVG and HQI_US_National_MSR_AVG

​Physical: Access
Physical: CSV Flat Files
Business: Process of Care National Results
Description: Process of Care measures national results 

Column Name

DDB Data Type

Provider Number (Defaults to Nation)

Text(50)

Condition

Text(33)

Measure Name

Memo

Score

Text(50)

dbo_vwHQI_PCTL_MSR_XWLK and HQI_PCTL_MSR_XWLK

​Physical: Access
Physical: CSV Flat Files
Business: Process of Care Top Percentile Scores
Description: Scores achieved by the top ten (10) percent of hospitals and the national average score for each Process of Care measure

Column Name

DDB Data Type

Measure Name

Memo

Condition

Memo

Measure Code

Text(25)

Percentile

Text(68)

Score

Text(50)

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CSV Revised Flat Files and Data.Medicare.gov Data File Summary

The table below shows the titles of the CSV Revised Flat File and Data.Medicare.gov file names.

 

CSV Revised file name: Hospital_Revised_flatfiles.zip Data.Medicare.gov
Hospital_Revised_Flatfiles.pdf  
Readme.txt  

CSV Revised Data File Names (.csv)

 Data.Medicare.gov File Names

Hospital_Data Hospital General Information
Measure Dates Measure Dates
FootNote Hospital Footnote Crosswalk
Hospital ACS Measures Hospital ACS Measures
Agency for Healthcare Research and Quality Agency for Healthcare Research and Quality Measures
Agency for Healthcare Research and Quality - State Agency for Healthcare Research and Quality - State Measures

Agency for Healthcare Research and Quality - National

Agency for Healthcare Research and Quality - National Measures
Emergency Department Throughput Emergency Department Care Measures
Emergency Department Throughput-State Emergency Department Care Measures - State
Emergency Department Throughput-National Emergency Department Care Measures - National
Healthcare_Associated_Infections Healthcare Associated Infections
Healthcare_Associated_Infections_State Healthcare Associated Infections - State Measures
Healthcare_Associated_Infections_National Healthcare Associated Infections National
Hospital Acquired Condition Hospital Acquired Condition Measures
Hospital Acquired Condition - National Hospital Acquired Condition - National Measures
HCAHPS Measures Survey of Patients' Hospital Experiences (HCAHPS)
HCAHPS Measures - State Survey of Patients’ Hospital Experiences (HCAHPS) - State Average
HCAHPS Measures - National Survey of Patients’ Hospital Experiences (HCAHPS) - National Average
hvbp_ami_02_07_2013 Hospital Value-Based Purchasing (HVBP) – Acute Myocardial Infarction Scores
hvbp_hai_02_07_2013 Hospital Value-Based Purchasing (HVBP) – Healthcare-Associated Infection Scores
hvbp_hcahps_02_07_2013 Hospital Value-Based Purchasing (HVBP) – Patient Experience of Care Domain Scores (HCAHPS)
hvbp_hf_02_07_2013 Hospital Value-Based Purchasing (HVBP) – Heart Failure Scores
hvbp_pn_02_07_2013 Hospital Value-Based Purchasing (HVBP) – Pneumonia Scores
hvbp_scip_02_07_2013 Hospital Value-Based Purchasing (HVBP) – Surgical Care Improvement Project Scores
hvbp_tps_02_07_2013 Hospital Value-Based Purchasing (HVBP) – Total Performance Scores
Immunization Preventive Care Measures
Immunization-State Preventive Care Measures - State
Immunization-National Preventive Care Measures - National
Medicare Spending Per Patient Medicare Spending Per Patient
Medicare Spending Per Patient - State Medicare Spending Per Patient - State
Medicare Spending Per Patient - National Medicare Spending Per Patient - National
  Spending Breakdown by Claim

Medicare Volume Measures

Hospital Medicare Volume Measures
Medicare Volume Measures - State Medicare Volume Measures - State Average
Medicare Volume Measures - National Hospital Medicare Volume Measures - National Average
Outcome of Care Measures Hospital Outcome Of Care Measures
Outcome of Care Measures - State Hospital Outcome Of Care Measures - State
Outcome of Care Measures - National Hospital Outcome Of Care Measures - National Average
Outpatient Imaging Efficiency Measures Use Of Medical Imaging Measures

Outpatient Imaging Efficiency Measures - State

Use Of Medical Imaging Measures - State
Outpatient Imaging Efficiency Measures - National Use Of Medical Imaging Measures - National
Process of Care Measures - Children Hospital Process of Care Measures - Children's Asthma
Process of Care Measures - Heart Attack Hospital Process of Care Measures - Heart Attack
Process of Care Measures - Heart Failure Hospital Process of Care Measures - Heart Failure
Process of Care Measures - Pneumonia Hospital Process of Care Measures - Pneumonia
Process of Care Measures - SCIP Hospital Process of Care Measures - Surgical Care Improvement Project

Process of Care Measures - State

Hospital Process of Care Measures - State Average
Process of Care Measures - National Hospital Process of Care Measures - National Average
READMISSION REDUCTION Hospital Readmission Reduction
Structural Measures Hospital Structural Measures - Cardiac Surgery Registry
Measure Crosswalk  
  Hospital Compare - CASPER/ASPEN Contacts

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CSV Revised Flat Files and Data.Medicare.gov Data Content Summary

Note: Fields having the data type of “memo” do not require a length. They allow the user to input large amounts of text without limit. Fields having the data type of “Text” require the corresponding length provided.

Table Name (Back to Table Listing) Physical: Revised CSV Flat File Physical: Data.Medicare.gov Business

Hospital_Data

Physical: Data.Medicare.gov: Hospital General Information
Business: Hospital Characteristics
Description: General information on hospitals within the dataset

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Provider Number

Provider Number Memo
Hospital Name Hospital Name Memo
Address1 Address1 Memo
Address2 Address2 Memo
Address3 Address3 Memo
City City

Memo

State State Text(2)
ZIP Code ZIP Code Text(5)
County County Name Text(25)

Phone Number

Phone Number Text(10)
Hospital Type Hospital Type Text(50)
Hospital Ownership Hospital Owner Text(100)

Emergency Services

Emergency Services

Text(50)
  Memo Memo
Measure_Dates

Physical: Data.Medicare.gov: Measure Dates
Business: Measure Data Collection Periods

Description: Current collection dates for available measures included in the Downloadable Database

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Measure Name

Measure Name

Memo

Measure Start Quarter

Measure Start Quarter

Memo

Measure Start Date

Measure Start Date

Memo

Measure End Quarter

Measure End Quarter

Memo

Measure End Date

Measure End Date

Memo

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FootNote

Physical: Data.Medicare.gov: Hospital Footnote Crosswalk

Business: Footnotes
Description: Look up table for footnote text in the various data files 

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Footnote

Footnote Text (50)
Footnote Text Footnote Text Memo
Hospital ACS Measures

Physical: Data.Medicare.gov: Hospital ACS Measures
Business: Hospital ACS Measures
Description: American College of Surgeons (ACS) hospital-level results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type
CCN CCN Text (6)
Hospital Name Hospital Name Memo
Surg65 Surg65 Memo
Surg65_FN Surg65_FN Memo
Colon Colon Memo
Colon_FN Colon_FN Memo
LowExtBypass LowExtBypass Memo
LowExtBypass_FN LowExtBypass_FN Memo
Agency for Healthcare Research and Quality

Physical: Data.Medicare.gov: Agency for Healthcare Research and Quality Measures
Business: AHRQ PSI and IQI Hospital Results
Description: AHRQ PSI and IQI measures hospital-level results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Provider Number

Provider Number Memo
Hospital Name Hospital Name Memo
Address 1 Address 1 Memo
Address 2 Address 2 Memo
Address 3 Address 3 Memo
City City Memo

State

State

Text(2)

ZIP Code ZIP Code Text(5)

County Name

County Name Text(25)

Phone Number

Phone Number Text(10)
Death from serious treatable complications after surgery Death from serious treatable complications after surgery

Memo

Footnote - Death from serious treatable complications after surgery Footnote - Death from serious treatable complications after surgery Memo
Collapsed lung due to medical treatment Collapsed lung due to medical treatment Memo
Footnote - Collapsed lung due to medical treatment Footnote - Collapsed lung due to medical treatment

Memo

Breathing failure after surgery Breathing failure after surgery Memo
Footnote - Breathing failure after surgery Footnote - Breathing failure after surgery Memo
Serious blood clots after surgery Serious blood clots after surgery Memo
Footnote - Serious blood clots after surgery Footnote - Serious blood clots after surgery Memo
A wound that splits open after surgery A wound that splits open after surgery Memo
Footnote - A wound that splits open after surgery Footnote - A wound that splits open after surgery Memo
Accidental cuts and tears from medical treatment Accidental cuts and tears from medical treatment Memo
Footnote - Accidental cuts and tears from medical treatment Footnote - Accidental cuts and tears from medical treatment Memo
Serious Complications Serious Complications Memo
Footnote - Serious Complications Footnote - Serious Complications Memo
Death after surgery to repair a weakness in the abdominal aorta Death after surgery to repair a weakness in the abdominal aorta Memo
Footnote - Death after surgery to repair a weakness in the abdominal aorta Footnote - Death after surgery to repair a weakness in the abdominal aorta Memo
Deaths after admission for broken hip Deaths after admission for broken hip Memo
Footnote - Deaths after admission for broken hip Footnote - Deaths after admission for broken hip Memo
Deaths from Certain Conditions Deaths from Certain Conditions Memo
Footnote - Deaths from Certain Conditions Footnote - Deaths from Certain Conditions Memo
Number of Patients - Death from serious treatable complications after surgery Number of Patients - Death from serious treatable complications after surgery Memo
Rate - Death from serious treatable complications after surgery Rate - Death from serious treatable complications after surgery Memo
Lower Estimate - Death from serious treatable complications after surgery Lower Estimate - Death from serious treatable complications after surgery Memo
Higher Estimate - Death from serious treatable complications after surgery Higher Estimate - Death from serious treatable complications after surgery Memo
Number of Patients - Collapsed lung due to medical treatment Number of Patients - Collapsed lung due to medical treatment Number of Patients - Collapsed lung due to medical treatment
Rate - Collapsed lung due to medical treatment Rate - Collapsed lung due to medical treatment Memo
Lower Estimate - Collapsed lung due to medical treatment Lower Estimate - Collapsed lung due to medical treatment Memo
Higher Estimate - Collapsed lung due to medical treatment Higher Estimate - Collapsed lung due to medical treatment Memo
Number of Patients - Breathing failure after surgery Number of Patients - Breathing failure after surgery Memo
Rate - Breathing failure after surgery Rate - Breathing failure after surgery Memo
Lower Estimate - Breathing failure after surgery Lower Estimate - Breathing failure after surgery Memo
Higher Estimate - Breathing failure after surgery Higher Estimate - Breathing failure after surgery Memo
Number of Patients - Serious blood clots after surgery Number of Patients - Serious blood clots after surgery Memo
Rate - Serious blood clots after surgery Rate - Serious blood clots after surgery Memo
Lower Estimate - Serious blood clots after surgery Lower Estimate - Serious blood clots after surgery Memo
Higher Estimate - Serious blood clots after surgery Higher Estimate - Serious blood clots after surgery Memo
Number of Patients - A wound that splits open after surgery Number of Patients - A wound that splits open after surgery Memo
Rate - A wound that splits open after surgery Rate - A wound that splits open after surgery Memo
Lower Estimate - A wound that splits open after surgery Lower Estimate - A wound that splits open after surgery Memo
Higher Estimate - A wound that splits open after surgery Higher Estimate - A wound that splits open after surgery Memo
Number of Patients - Accidental cuts and tears from medical treatment Number of Patients - Accidental cuts and tears from medical treatment Memo
Rate - Accidental cuts and tears from medical treatment Rate - Accidental cuts and tears from medical treatment Memo
Lower Estimate - Accidental cuts and tears from medical treatment Lower Estimate - Accidental cuts and tears from medical treatment Memo
Higher Estimate - Accidental cuts and tears from medical treatment Higher Estimate - Accidental cuts and tears from medical treatment Memo
Number of Patients - Serious Complications Number of Patients - Serious Complications Memo
Rate - Serious Complications Rate - Serious Complications Memo
Lower Estimate - Serious Complications Lower Estimate - Serious Complications Memo
Higher Estimate - Serious Complications Higher Estimate - Serious Complications Memo
Number of Patients - Death after surgery to repair a weakness in the abdominal aorta Number of Patients - Death after surgery to repair a weakness in the abdominal aorta Memo
Rate - Death after surgery to repair a weakness in the abdominal aorta Rate - Death after surgery to repair a weakness in the abdominal aorta Memo
Lower Estimate - Death after surgery to repair a weakness in the abdominal aorta Lower Estimate - Death after surgery to repair a weakness in the abdominal aorta Memo
Higher Estimate - Death after surgery to repair a weakness in the abdominal aorta Higher Estimate - Death after surgery to repair a weakness in the abdominal aorta Memo
Number of Patients - Deaths after admission for broken hip Number of Patients - Deaths after admission for broken hip Memo
Rate - Deaths after admission for broken hip Rate - Deaths after admission for broken hip Memo
Lower Estimate - Deaths after admission for broken hip Lower Estimate - Deaths after admission for broken hip Memo
Lower Estimate - Deaths after admission for broken hip Lower Estimate - Deaths after admission for broken hip Memo
Number of Patients - Deaths from Certain Conditions Number of Patients - Deaths from CertainConditions Memo
Rate - Deaths from Certain Conditions Rate - Deaths from Certain Conditions Memo
Lower Estimate - Deaths from Certain Conditions Lower Estimate - Deaths from Certain Conditions Memo
Higher Estimate - Deaths from Certain Conditions Higher Estimate - Deaths from Certain Conditions Memo

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Agency for Healthcare Research and Quality - State

Physical: Data.Medicare.gov: Agency for Healthcare Research and Quality - State Measures
Business: AHRQ PSI and IQI State Results Description
Description: AHRQ PSI and IQI measures state-level results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type
State State Memo
Worse - Death from serious treatable complications after surgery Worse - Death from serious treatable complications after surgery Memo
Same - Death from serious treatable complications after surgery Same - Death from serious treatable complications after surgery Memo
Better - Death from serious treatable complications after surgery Better - Death from serious treatable complications after surgery Memo
Too few - Death from serious treatable complications after surgery Too few - Death from serious treatable complications after surgery Memo
Worse - Collapsed lung due to medical treatment Worse - Collapsed lung due to medical treatment Memo
Same - Collapsed lung due to medical treatment Same - Collapsed lung due to medical treatment Memo
Better - Collapsed lung due to medical treatment Better - Collapsed lung due to medical treatment Memo
Too few - Collapsed lung due to medical treatment Too few - Collapsed lung due to medical treatment Memo

Worse - Breathing failure after surgery

Worse - Breathing failure after surgery

Memo
Same - Breathing failure after surgery Same - Breathing failure after surgery Memo
Better - Breathing failure after surgery Better - Breathing failure after surgery Memo
Too few - Breathing failure after surgery Too few - Breathing failure after surgery Memo
Worse - Serious blood clots after surgery Worse - Serious blood clots after surgery Memo
Same - Serious blood clots after surgery Same - Serious blood clots after surgery Memo
Better - Serious blood clots after surgery Better - Serious blood clots after surgery Memo
Too few - Serious blood clots after surgery Too few - Serious blood clots after surgery Memo
Worse - A wound that splits open after surgery Worse - A wound that splits open after surgery Memo
Same - A wound that splits open after surgery Same - A wound that splits open after surgery Memo

Better - A wound that splits open after surgery

Better - A wound that splits open after surgery

Memo
Too few - A wound that splits open after surgery Too few - A wound that splits open after surgery Memo
Worse - Accidental cuts and tears from medical treatment Worse - Accidental cuts and tears from medical treatment Memo
Same - Accidental cuts and tears from medical treatment Same - Accidental cuts and tears from medical treatment Memo
Better - Accidental cuts and tears from medical treatment Better - Accidental cuts and tears from medical treatment Memo
Too few - Accidental cuts and tears from medical treatment Too few - Accidental cuts and tears from medical treatment Memo
Worse - Serious Complications Worse - Serious Complications Memo
Same - Serious Complications Same - Serious Complications Memo
Better - Serious Complications Better - Serious Complications Memo
Too few - Serious Complications Too few - Serious Complications Memo
Worse - Death after surgery to repair a weakness in the abdominal aorta Worse - Death after surgery to repair a weakness in the abdominal aorta Memo
Same - Death after surgery to repair a weakness in the abdominal aorta Same - Death after surgery to repair a weakness in the abdominal aorta Memo
Better - Death after surgery to repair a weakness in the abdominal aorta Better - Death after surgery to repair a weakness in the abdominal aorta Memo
Too few - Death after surgery to repair a weakness in the abdominal aorta Too few - Death after surgery to repair a weakness in the abdominal aorta Memo
Worse - Deaths after admission for broken hip Worse - Deaths after admission for broken hip Memo
Same - Deaths after admission for broken hip Same - Deaths after admission for broken hip Memo
Better - Deaths after admission for broken hip Better - Deaths after admission for broken hip Memo
Too few - Deaths after admission for broken hip Too few - Deaths after admission for broken hip Memo
Worse - Deaths from Certain Conditions Worse - Deaths from Certain Conditions Memo
Same - Deaths from Certain Conditions Same - Deaths from Certain Conditions Memo
Better - Deaths from Certain Conditions Better - Deaths from Certain Conditions Memo
Too few - Deaths from Certain Conditions Too few - Deaths from Certain Conditions Memo

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Agency for Healthcare Research and Quality - National

Physical: Data.Medicare.gov: Agency for Healthcare Research and Quality - National Measures
Business: AHRQ PSI and IQI National Results
Description: AHRQ PSI and IQI measures national results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

U.S. National Rate

U.S. National Rate

Memo
National Patient Safety Measure Performance National Patient Safety Measure Performance Memo
National Inpatient Quality Indicators Measure Performance National Inpatient Quality Indicators Measure Performance Memo
Measure Measure Memo

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Emergency Department Throughput

Physical: Data.Medicare.gov: Emergency Department Care Measures
Business: Process of Care—Emergency Department Hospital Results

Description: Process of Care—Emergency Department measure hospital-level results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Provider ID

Provider ID

Memo
Hospital Name Hospital Name Memo
Address 1 Address 1 Memo
Address 2 Address 2 Memo
Address 3 Address 3 Memo
City City Memo
State State Text(2)

ZIP Code

ZIP Code

Text(5)
County Name County Name Text(25)
Phone Number Phone Number Text(10)
Measure Measure Memo

Rate

Rate

Memo
Sample Sample Memo
Footnote Footnote Memo
Emergency Department Throughput - State

Physical: Data.Medicare.gov: Emergency Department Care Measures - State
Business: Process of Care—Emergency Department State Results

Description: Process of Care—Emergency Department state-level results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Provider ID

Provider ID

Memo
Measure Measure Memo
Rate (per 1,000 Discharges) Rate (per 1,000 Discharges) Memo
Footnote Footnote Memo
Emergency Department Throughput - National

Physical: Data.Medicare.gov: Emergency Department Care Measures - National
Business: Process of Care—Emergency Department National Results

Description: Process of Care—Emergency Department Hospital Results measure national results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type
Provider ID Provider ID Memo
Measure Measure Memo
Rate (per 1,000 Discharges) Rate (per 1,000 Discharges) Memo
Footnote Footnote Memo
Healthcare_Associated_Infections

Physical: Data.Medicare.gov: Healthcare Associated Infections
Business: Healthcare-Associated Infections Hospital
Description: Healthcare-Associated Infections measures hospital-level results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type
Provider ID Provider ID Memo
Hospital Name Hospital Name Memo
Address 1 Address 1 Memo
Address 2 Address 2 Memo
Address 3 Address 3 Memo
City City Memo
State State Text(2)
ZIP Code ZIP Code Text(5)
County Name County Name Text(25)
Phone Number Phone Number Text(10)
Measure Measure Memo
Score Score Memo
Footnote Footnote Memo

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Healthcare_Associated_Infections_State

Physical: Data.Medicare.gov: Healthcare Associated Infections - State Measures
Business: Healthcare-Associated Infections State Results
Description: Healthcare-Associated Infections measures state-level results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Provider ID (Two digit state abbreviation)

Provider ID (Two digit state abbreviation)

Memo
Measure Measure Memo
Score Score Memo
Footnote Footnote Memo

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Healthcare_Associated_Infections_National

Physical: Data.Medicare.gov: Healthcare Associated Infections National
Business: Healthcare-Associated Infections National Results
Description: Healthcare-Associated Infections measures national results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Provider ID (Defaults to NATION)

Provider ID (Defaults to NATION)

Memo
Measure Measure Memo
Rate (per 1,000 Discharges) Rate (per 1,000 Discharges) Memo
Footnote Footnote Memo
Hospital Acquired Condition

Physical: Data.Medicare.gov: Hospital Acquired Condition Measures
Business: Hospital-Acquired Conditions Hospital Results
Description: Hospital-Acquired Conditions measures hospital-level results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Provider ID

Provider ID

Memo
Hospital Name Hospital Name Memo
Address 1 Address 1 Memo
Address 2 Address 2 Memo
Address 3 Address 3 Memo
City City Memo
State State Text(2)
ZIP Code ZIP Code Text(5)
County Name County Name Text(25)

Phone Number

Phone Number

Text(10)
Measure Measure Memo
Rate (per 1,000 Discharges) Rate (per 1,000 Discharges) Memo
Hospital Acquired Condition - National

Physical: Data.Medicare.gov: Hospital Acquired Condition - National Measures
Business: Hospital-Acquired Conditions National Results
Description: Hospital-Acquired Conditions measures national results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Measure

Measure

Memo
Score Score Memo

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HCAHPS Measures

Physical: Data.Medicare.gov: Survey of Patients' Hospital Experiences (HCAHPS)
Business: HCAHPS Hospital Results Description
Description: HCAHPS measures hospital-level results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Provider Number

Provider Number

Memo
Hospital Name Hospital Name Memo
Address 1 Address 1 Memo
Address 2 Address 2 Memo
Address 3 Address 3 Memo

City

City

Memo
State State Text(2)
ZIP Code ZIP Code Text(5)
County Name County Name Text(25)

Phone Number

Phone Number

Text(10)
Percent of patients who reported that their nurses "Sometimes" or "Never" communicated well Percent of patients who reported that their nurses "Sometimes" or "Never" communicated well Memo
Percent of patients who reported that their nurses "Usually" communicated well. Percent of patients who reported that their nurses "Usually" communicated well. Memo
Percent of patients who reported that their nurses "Always" communicated well Percent of patients who reported that their nurses "Always" communicated well Memo
Percent of patients who reported that their doctors "Sometimes" or "Never" communicated well Percent of patients who reported that their doctors "Sometimes" or "Never" communicated well Memo
Percent of patients who reported that their doctors "Usually" communicated well Percent of patients who reported that their doctors "Usually" communicated well Memo
Percent of patients who reported that their doctors "Always" communicated well Percent of patients who reported that their doctors "Always" communicated well Memo
Percent of patients who reported that they "Sometimes" or "Never" received help as soon as they wanted Percent of patients who reported that they "Sometimes" or "Never" received help as soon as they wanted Memo
Percent of patients who reported that they "Usually" received help as soon as they wanted. Percent of patients who reported that they "Usually" received help as soon as they wanted. Memo
Percent of patients who reported that they "Always" received help as soon as they wanted. Percent of patients who reported that they "Always" received help as soon as they wanted. Memo

Percent of patients who reported that their pain was "Sometimes" or "Never" well controlled

Percent of patients who reported that their pain was "Sometimes" or "Never" well controlled

Memo
Percent of patients who reported that their pain was "Usually" well controlled Percent of patients who reported that their pain was "Usually" well controlled Memo
Percent of patients who reported that their pain was "Always" well controlled Percent of patients who reported that their pain was "Always" well controlled Memo
Percent of patients who reported that staff "Sometimes" or "Never" explained about medicines before giving it to them Percent of patients who reported that staff "Sometimes" or "Never" explained about medicines before giving it to them Memo
Percent of patients who reported that staff "Usually" explained about medicines before giving it to them Percent of patients who reported that staff "Usually" explained about medicines before giving it to them Memo
Percent of patients who reported that staff "Always" explained about medicines before giving it to them Percent of patients who reported that staff "Always" explained about medicines before giving it to them Memo
Percent of patients who reported that their room and bathroom were "Sometimes" or "Never" clean Percent of patients who reported that their room and bathroom were "Sometimes" or "Never" clean Memo
Percent of patients who reported that their room and bathroom were "Usually" clean Percent of patients who reported that their room and bathroom were "Usually" clean Memo
Percent of patients who reported that their room and bathroom were "Always" clean Percent of patients who reported that their room and bathroom were "Always" clean Memo
Percent of patients who reported that the area around their room was "Sometimes" or "Never" quiet at night Percent of patients who reported that the area around their room was "Sometimes" or "Never" quiet at night Memo
Percent of patients who reported that the area around their room was "Usually" quiet at night Percent of patients who reported that the area around their room was "Usually" quiet at night Memo
Percent of patients who reported that the area around their room was "Always" quiet at night Percent of patients who reported that the area around their room was "Always" quiet at night Memo
Percent of patients at each hospital who reported that YES they were given information about what to do during recovery Percent of patients at each hospital who reported that YES they were given information about what to do during recovery Memo
Percent of patients who reported that they were not given information about what to do during their recovery at home Percent of patients who reported that they were not given information about what to do during their recovery at home Memo
Percent of patients who gave their hospital a rating of 6 or lower on a scale from 0 (lowest) to 10 (highest) Percent of patients who gave their hospital a rating of 6 or lower on a scale from 0 (lowest) to 10 (highest) Memo
Percent of patients who gave their hospital a rating of 7 or 8 on a scale from 0 (lowest) to 10 (highest) Percent of patients who gave their hospital a rating of 7 or 8 on a scale from 0 (lowest) to 10 (highest) Memo
Patients who gave their hospital a rating of 9 or 10 on a scale from 0 (lowest) to 10 (highest) Patients who gave their hospital a rating of 9 or 10 on a scale from 0 (lowest) to 10 (highest) Memo
Percent of patients who reported NO they would not recommend the hospital Percent of patients who reported NO they would not recommend the hospital Memo
Percent of patients who reported YES they would probably recommend the hospital Percent of patients who reported YES they would probably recommend the hospital Memo
Patients who reported YES they would definitely recommend the hospital Percent of patients who reported YES,they would definitely recommend the hospital Memo
Number of completed Surveys Number of completed Surveys Memo
Survey Response Rate Survey Response Rate Percent Memo
Hospital Footnote Hospital Footnote Memo

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HCAHPS Measures - State

Physical: Data.Medicare.gov: Survey of Patients’ Hospital Experiences (HCAHPS) - State Average
Business: HCAHPS State Results
Description: HCAHPS measures state-level results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

State

State

Text(50)
Percent of patients who reported that their nurses 'Sometimes' or 'Never' communicated well Percent of patients who reported that their nurses 'Sometimes' or 'Never' communicated well Memo

Percent of patients who reported that their nurses 'Usually' communicated well

Percent of patients who reported that their nurses 'Usually' communicated well

Memo
Percent of patients who reported that their nurses 'Always' communicated well Percent of patients who reported that their nurses 'Always' communicated well Memo
Percent of patients who reported that their doctors 'Sometimes' or 'Never' communicated well Percent of patients who reported that their doctors 'Sometimes' or 'Never' communicated well Memo
Percent of patients who reported that their doctors 'Usually' communicated well Percent of patients who reported that their doctors 'Usually' communicated well Memo
Percent of patients who reported that their doctors 'Always' communicated well Percent of patients who reported that their doctors 'Always' communicated well Memo
Percent of patients who reported that they 'Sometimes' or 'Never' received help as soon as they wanted Percent of patients who reported that they 'Sometimes' or 'Never' received help as soon as they wanted Memo
Percent of patients who reported that they 'Usually' received help as soon as they wanted Percent of patients who reported that they 'Usually' received help as soon as they wanted Memo

Percent of patients who reported that they 'Always' received help as soon as they wanted

Percent of patients who reported that they 'Always' received help as soon as they wanted

Memo
Percent of patients who reported that their pain was 'Sometimes' or 'Never' well controlled Percent of patients who reported that their pain was "Sometimes" or "Never" well controlled Memo
Percent of patients who reported that their pain was 'Usually' well controlled Percent of patients who reported that their pain was 'Usually' well controlled Memo
Percent of patients who reported that their pain was 'Always' well controlled Percent of patients who reported that their pain was 'Always' well controlled Memo
Percent of patients who reported that staff 'Sometimes' or 'Never' explained about medicines before giving it to them Percent of patients who reported that staff 'Sometimes' or 'Never' explained about medicines before giving it to them Memo
Percent of patients who reported that staff 'Usually' explained about medicines before giving it to them Percent of patients who reported that staff 'Usually' explained about medicines before giving it to them Memo

Percent of patients who reported that staff 'Always' explained about medicines before giving it to them

Percent of patients who reported that staff 'Always' explained about medicines before giving it to them

Memo
Percent of patients who reported that their room and bathroom were 'Sometimes' or 'Never' clean Percent of patients who reported that their room and bathroom were 'Usually' clean. Memo
Percent of patients who reported that their room and bathroom were 'Always' clean Percent of patients who reported that their room and bathroom were 'Always' clean Memo
Percent of patients who reported that the area around their room was 'Sometimes' or 'Never' quiet at night Percent of patients who reported that the area around their room was 'Sometimes' or 'Never' quiet at night Memo
Percent of patients who reported that the area around their room was 'Usually' quiet at night Percent of patients who reported that the area around their room was 'Usually' quiet at night Memo
Percent of patients who reported that the area around their room was 'Always' quiet at night Percent of patients who reported that the area around their room was 'Always' quiet at night Memo
Percent of patients at each hospital who reported that YES they were given information about what to do during recovery Percent of patients who reported that YES,they were given information about what to do during their recovery at home Memo
Percent of patients who reported that they were not given information about what to do during their recovery at home Percent of patients who reported that they were not given information about what to do during their recovery at home Memo
Percent of patients who gave their hospital a rating of 6 or lower on a scale from 0 (lowest) to 10 (highest) Percent of patients who gave their hospital a rating of 6 or lower on a scale from 0 (lowest) to 10 (highest) Memo
Percent of patients who gave their hospital a rating of 7 or 8 on a scale from 0 (lowest) to 10 (highest) Percent of patients who gave their hospital a rating of 7 or 8 on a scale from 0 (lowest) to 10 (highest) Memo
Patients who gave their hospital a rating of 9 or 10 on a scale from 0 (lowest) to 10 (highest) Percent of patients who gave their hospital a rating of 9 or 10 on a scale from 0 (lowest) to 10 (highest) Memo
Percent of patients who reported NO they would not recommend the hospital Percent of patients who reported NO they would not recommend the hospital Memo
Percent of patients who reported YES they would probably recommend the hospital Percent of patients who reported YES they would probably recommend the hospital Memo
Patients who reported YES they would definitely recommend the hospital Percent of patients who reported YES,they would definitely recommend the hospital Memo

Hospital.Docx Page 43 of 80
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HCAHPS Measures - National

Physical: Data.Medicare.gov: Survey of Patients’ Hospital Experiences (HCAHPS) - National Average
Business: HCAHPS National Results
Description: HCAHPS measures national results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type
HCAHPS Question HCAHPS Question Memo
HCAHPS Answer Description HCAHPS Answer Description Memo
HCAHPS Answer Percent HCAHPS Answer Percent Text(50)


Hospital.Docx Page 44 of 80
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Last Saved: April 25, 2013

hvbp_ ami _02_07_2013

Physical: Data.Medicare.gov: Hospital Value-Based Purchasing (HVBP) - Acute Myocardial Infarction Scores
Business: HVBP Process of Care—AMI Results
Description: Hospital Value Based Purchasing Acute Myocardial Infarction results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Provider Number

Provider Number

Memo
Hospital Name Hospital Name Memo
Address Address Memo
City City Memo
State State Memo
ZIP Code ZIP Code Memo
County Name County Name Memo
AMI-7a Performance Rate AMI-7a Performance Rate Memo
AMI-7a Achievement Points AMI-7a Achievement Points Memo
AMI-7a Improvement Points AMI-7a Improvement Points Memo
AMI-7a Measure Score AMI-7a Measure Score Memo
AMI-8a Performance Rate AMI-8a Performance Rate Memo
AMI-8a Achievement Points AMI-8a Achievement Points Memo
AMI-8a Improvement Points AMI-8a Improvement Points Memo
AMI-8a Measure Score AMI-8a Measure Score Memo
AMI Condition/Procedure Score AMI Condition/Procedure Score Memo
  Location  
hvbp_hai_02_07_2013

Physical: Data.Medicare.gov: Hospital Value-Based Purchasing (HVBP) Healthcare-Associated Infection Scores

Business: HVBP Healthcare-Associated Infections Results
Description: Hospital Value-Based Purchasing Healthcare-Associated Infections results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Provider Number

Provider Number

Memo
Hospital Name Hospital Name Memo
Address Address Memo
City City Memo
State State Memo
ZIP Code ZIP Code Memo
County Name County Name Memo
SCIP-Inf-1 Performance Rate SCIP-Inf-1 Performance Rate Memo
SCIP-Inf-1 Achievement Points SCIP-Inf-1 Achievement Points Memo
SCIP-Inf-1 Improvement Points SCIP-Inf-1 Improvement Points Memo
SCIP-Inf-1 Measure Score SCIP-Inf-1 Measure Score Memo
SCIP-Inf-2 Performance Rate SCIP-Inf-2 Performance Rate Memo
SCIP-Inf-2 Achievement Points SCIP-Inf-2 Achievement Points Memo
SCIP-Inf-2 Improvement Points SCIP-Inf-2 Improvement Points Memo
SCIP-Inf-2 Measure Score SCIP-Inf-2 Measure Score Memo
SCIP-Inf-3 Performance Rate SCIP-Inf-3 Performance Rate Memo
SCIP-Inf-3 Achievement Points SCIP-Inf-3 Achievement Points Memo
SCIP-Inf-3 Improvement Points SCIP-Inf-3 Improvement Points Memo
SCIP-Inf-3 Measure Score SCIP-Inf-3 Measure Score Memo
SCIP-Inf-4 Performance Rate SCIP-Inf-4 Performance Rate Memo
SCIP-Inf-4 Achievement Points SCIP-Inf-4 Achievement Points Memo
SCIP-Inf-4 Improvement Points SCIP-Inf-4 Improvement Points Memo
SCIP-Inf-4 Measure Score SCIP-Inf-4 Measure Score Memo
HAI Condition/Procedure Score HAI Condition/Procedure Score Memo
  Location Memo

Hospital.Docx Page 46 of 80
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hvbp_hcahps_02_07_2013

Physical: Data.Medicare.gov: Hospital Value-Based Purchasing (HVBP) - Patient Experience of Care Domain Scores (HCAHPS)

Business: HVBP HCAHPS Results
Description: Hospital Value-Based Purchasing HCAHPS results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Provider Number

Provider Number

Memo
Hospital Name Hospital Name Memo
Address Address Memo
City City Memo

State

State

Memo
ZIP Code ZIP Code Memo
County Name County Name Memo
Communication with Nurses Achievement Points Communication with Nurses Achievement Points Memo
Communication with Nurses Improvement Points Communication with Nurses Improvement Points Memo
Communication with Nurses Dimension Score Communication with Nurses Dimension Score Memo
Communication with Doctors Achievement Points Communication with Doctors Achievement Points Memo
Communication with Doctors Improvement Points Communication with Doctors Improvement Points Memo
Communication with Doctors Dimension Score Communication with Doctors Dimension Score Memo
Responsiveness of Hospital Staff Achievement Points Responsiveness of Hospital Staff Achievement Points Memo

Responsiveness of Hospital Staff Improvement Points

Responsiveness of Hospital Staff Improvement Points

Memo
Responsiveness of Hospital Staff Dimension Score Responsiveness of Hospital Staff Dimension Score Memo
Pain Management Achievement Points Pain Management Achievement Points Memo
Pain Management Improvement Points Pain Management Improvement Points Memo
Pain Management Dimension Score Pain Management Dimension Score Memo
Communication about Medicines Achievement Points Communication about Medicines Achievement Points Memo
Communication about Medicines Improvement Points Communication about Medicines Improvement Points Memo
Communication about Medicines Dimension Score Communication about Medicines Dimension Score Memo
Cleanliness and Quietness of Hospital Environment Achievement Points Cleanliness and Quietness of Hospital Environment Achievement Points Memo
Cleanliness and Quietness of Hospital Environment Improvement Points Cleanliness and Quietness of Hospital Environment Improvement Points Memo
Cleanliness and Quietness of Hospital Environment Dimension Score Cleanliness and Quietness of Hospital Environment Dimension Score Memo
Discharge Information Achievement Points Discharge Information Achievement Points Memo
Discharge Information Improvement Points Discharge Information Improvement Points Memo
Discharge Information Dimension Score Discharge Information Dimension Score Memo
Overall Rating of Hospital Achievement Points Overall Rating of Hospital Achievement Points Memo
Overall Rating of Hospital Improvement Points Overall Rating of Hospital Improvement Points Memo
Overall Rating of Hospital Dimension Score Overall Rating of Hospital Dimension Score Memo
HCAHPS Base Score HCAHPS Base Score Memo
HCAHPS Consistency Score HCAHPS Consistency Score Memo
  Location Memo

Hospital.Docx Page 47 of 80
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hvbp_hf_02_07_2013 Hospital

Physical: Data.Medicare.gov: Value-Based Purchasing (HVBP) - Heart Failure Scores
Business: HVBP Process of Care—Heart Failure Results
Description: Hospital Value-Based Purchasing Process of Care—Heart Failure results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Provider Number

Provider Number

Memo
Hospital Name Hospital Name Memo
Address Address Memo
City City Memo
State State Memo
ZIP Code ZIP Code Memo
County Name County Name Memo
HF-1 Performance Rate HF-1 Performance Rate Memo
HF-1 Achievement Points HF-1 Achievement Points Memo
HF-1 Improvement Points HF-1 Improvement Points Memo
HF-1 Measure Score HF-1 Measure Score Memo
HF-1 Condition/Procedure Score HF-1 Condition/Procedure Score Memo
  Location Memo

Hospital.Docx Page 48 of 80
Last Saved: April 25, 2013

hvbp_pn_02_07_2013

Physical: Data.Medicare.gov: Hospital Value-Based Purchasing (HVBP) - Pneumonia Scores

Business: HVBP Process of Care—Pneumonia Results
Description: Hospital Value-Based Purchasing Process of Care—Pneumonia measure results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type
Provider Number Provider Number Memo
Hospital Name Hospital Name Memo
Address Address Memo
City City Memo
State State Memo
ZIP Code ZIP Code Memo
County Name County Name Memo
PN-3b Performance Rate PN-3b Performance Rate Memo
PN-3b Achievement Points PN-3b Achievement Points Memo
PN-3b Improvement Points PN-3b Improvement Points Memo
PN-3b Measure Score PN-3b Measure Score Memo
PN-6 Performance Rate PN-6 Performance Rate Memo
PN-6 Achievement Points PN-6 Achievement Points Memo
PN-6 Improvement Points PN-6 Improvement Points Memo
PN-6 Measure Score PN-6 Measure Score Memo
PN Condition/Procedure Score PN Condition/Procedure Score Memo
  Location  
hvbp_scip_02_07_2013

Physical: Data.Medicare.gov: Hospital Value-Based Purchasing (HVBP) - Surgical Care Improvement Project Scores
Business: HVBP Process of Care—Surgical Improvement Care Program Results
Description: Hospital Value-Based Purchasing Process of Care—Surgical Improvement Care Program results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Provider Number

Provider Number

Memo

Hospital Name Hospital Name

Memo

Address Address

Memo

City City

Memo

State State

Memo

ZIP Code ZIP Code

Memo

County Name County Name

Memo

SCIP-Card-2 Performance Rate SCIP-Card-2 Performance Rate

Memo

SCIP-Card-2 Achievement Points SCIP-Card-2 Achievement Points

Memo

SCIP-Card-2 Improvement Points SCIP-Card-2 Improvement Points

Memo

SCIP-Card-2 Measure Score SCIP-Card-2 Measure Score

Memo

SCIP-VTE-1 Performance Rate SCIP-VTE-1 Performance Rate

Memo

SCIP-VTE-1 Achievement Points SCIP-VTE-1 Achievement Points

Memo

SCIP-VTE-1 Improvement Points SCIP-VTE-1 Improvement Points

Memo

SCIP-VTE-1 Measure Score SCIP-VTE-1 Measure Score

Memo

SCIP-VTE-2 Performance Rate SCIP-VTE-2 Performance Rate Memo
SCIP-VTE-2 Achievement Points SCIP-VTE-2 Achievement Points Memo
SCIP-VTE-2 Improvement Points SCIP-VTE-2 Improvement Points Memo
SCIP-VTE-2 Measure Score SCIP-VTE-2 Measure Score Memo
SCIP Condition/Procedure Score SCIP Condition/Procedure Score Memo
  Location Memo

Hospital.Docx Page 49 of 80
Last Saved: April 25, 2013

hvbp_ tps _02_07_2013

Physical: Data.Medicare.gov: Hospital Value-Based Purchasing (HVBP) - Total Performance Scores
Business: HVBP Total Performance Score Results
Description: Overall performance score for Hospital Value-Based Purchasing

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type
Provider Number Provider Number Memo
Hospital Name Hospital Name Memo
Address Address Memo
City City Memo
State State Memo

ZIP Code

ZIP Code

Memo
County Name County Name Memo
Unweighted Normalized Clinical Process of Care Domain Score Unweighted Normalized Clinical Process of Care Domain Score Memo
Weighted Clinical Process of Care Domain Score Weighted Clinical Process of Care Domain Score Memo
Unweighted Patient Experience of Care Domain Score Unweighted Patient Experience of Care Domain Score Memo
Weighted Patient Experience of Care Domain Score Weighted Patient Experience of Care Domain Score Memo
Total Performance Score Total Performance Score Memo
  Location  

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Hospital.Docx Page 51 of 80
Last Saved: April 25, 2013

Immunization

Physical: Data.Medicare.gov: Preventive Care Measures
Business: Process of Care—Immunization Hospital Results
Description: Process of Care—Immunization measures hospital-level results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Provider ID

Provider ID

Memo
Hospital Name Hospital Name Memo
Address 1 Address 1 Memo
Address 2 Address 2 Memo
Address 3 Address 3 Memo
City City Memo
State State Text(2)

ZIP Code

ZIP Code

Text(5)
County Name County Name Text(25)
Phone Number Phone Number Text(10)
Measure Measure Memo
Rate Rate Memo
Sample Sample Memo
Footnote Footnote Memo
Immunization-State

Physical: Data.Medicare.gov: Preventive Care Measures - State
Business: Process of Care—Immunization State Results

Description: Process of Care—Immunization measure state-level results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type
Provider ID (Two character state abbreviaton) Provider ID (Two character state abbreviaton) Memo
Measure Measure Memo
Rate (per 1,000 Discharges) Rate (per 1,000 Discharges) Memo
Footnote Footnote Memo
Immunization-National

Physical: Data.Medicare.gov: Preventive Care Measures - National
Business: Process of Care—Immunization National Results

Description: Process of Care—Immunization measures national results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Provider ID

Provider ID

Memo
Measure Measure Memo
Rate (per 1,000 Discharges) Rate (per 1,000 Discharges) Memo
Footnote Footnote Memo
Medicare Spending Per Patient

Physical: Data.Medicare.gov: Medicare Spending Per Patient
Business: Medicare Spending Per Patient Hospital Results

Description: Medicare Spending Per Patient measures hospital-level results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type
Provider ID Provider ID Memo
Hospital Name Hospital Name Memo
Address 1 Address 1 Memo
Address 2 Address 2 Memo
Address 3 Address 3 Memo
City City Memo
State State Text(2)
ZIP Code ZIP Code Text(5)
County Name County Name Text(25)
Phone Number Phone Number Text(10)
Measure Measure Memo
Spending per Hospital Patient with Medicare Spending per Hospital Patient with Medicare Memo
Footnote Footnote Memo

Hospital.Docx Page 52 of 80
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Medicare Spending Per Patient-State

Physical: Data.Medicare.gov: Medicare Spending Per Patient - State
Business: Medicare Spending Per Patient State Results
Description: Medicare Spending Per Patient measures state-level results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Provider ID

Provider ID

Memo
Measure Measure Memo
Score Score Memo
Footnote Footnote Memo

Hospital.Docx Page 53 of 80
Last Saved: April 25, 2013

Medicare Spending Per Patient-National

Physical: Data.Medicare.gov: Medicare Spending Per Patient - National
Business: Medicare Spending Per Patient National Results
Description: Medicare Spending Per Patient measures national results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Provider ID

Provider ID

Memo
Measure Measure Memo
Score Score Memo
Footnote Footnote Memo
Spending Breakdown By Claim

Physical: Data.Medicare.gov: 
Business: Medicare Spending Per Patient - Spending Breakdown By Claim 
Description: Medicare Spending Per Patient measures spending breakdown by claim

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type
 

Hospital Name

Memo

 

Provider Number

Memo

  State Text (2)
  Claim Type Memo
  Avg Spending Per Episode (Hospital) Memo
  Avg Spending Per Episode (State) Memo
  Avg Spending Per Episode (Nation) Memo
  Percent of Spending (Hospital) Memo
  Percent of Spending (State) Memo
  Percent of Spending (Nation) Memo
Medicare Volume Measures

Physical: Data.Medicare.gov: Hospital Medicare Volume Measures
Business: Medicare Volume Hospital Results
Description: Medicare Volume measures hospital-level results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Provider Number

Provider Number

Memo
Hospital Name Hospital Name Memo
Address 1 Address 1 Memo
Address 2 Address 2 Memo
Address 3 Address 3 Memo
City City Memo
State State Text(2)

ZIP Code

ZIP Code

Text(5)
County Name County Name Text(25)

Phone Number

Phone Number

Text(10)
Diagnosis Related Group Diagnosis Related Group Text(25)
Number Of Cases Number Of Cases Text(50)
Footnote Footnote Memo

Hospital.Docx Page 54 of 80
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Medicare Volume Measures - State

Physical: Data.Medicare.gov: Hospital Medicare Volume Measures - State Average
Business: Medicare Volume State Results
Description: Medicare Volume measures state results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

State

State

Text(50)
Diagnosis Related Group Diagnosis Related Group Text(25)
Number Of Cases Number Of Cases Text(50)
Footnote Footnote Memo
Medicare Volume Measures - National

Physical: Data.Medicare.gov: Hospital Medicare Volume Measures - National Average
Business: Medicare Volume National Results
Description: Medicare Volume measures national results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Diagnosis Related Group

Diagnosis Related Group

Text(25)
Number Of Cases Number Of Cases Text(50)
Outcome of Care Measure

Physical: Data.Medicare.gov: Hospital Outcome Of Care Measures
Business: 30-Day Mortality and Readmission Hospital Results
Description: 30-Day Mortality and Readmission measures hospital-level results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Provider Number

Provider Number

Memo
Hospital Name Hospital Name Memo
Address 1 Address 1 Memo
Address 2 Address 2 Memo
Address 3 Address 3 Memo
City City Memo
State State Text(2)

ZIP Code

ZIP Code

Text(5)
County Name County Name Text(25)

Phone Number

Phone Number

Text(10)
Hospital 30-Day Death (Mortality) Rates from Heart Attack Hospital 30-Day Death (Mortality) Rates from Heart Attack Memo

Comparison to U.S. Rate - Hospital 30-Day Death (Mortality) Rates from Heart Attack

Comparison to U.S. Rate - Hospital 30-Day Death (Mortality) Rates from Heart Attack

Memo
Lower Mortality Estimate - Hospital 30-Day Death (Mortality) Rates from Heart Attack Lower Mortality Estimate - Hospital 30-Day Death (Mortality) Rates from Heart Attack Memo
Upper Mortality Estimate - Hospital 30-Day Death (Mortality) Rates from Heart Attack Upper Mortality Estimate - Hospital 30-Day Death (Mortality) Rates from Heart Attack Memo
Number of Patients - Hospital 30-Day Death (Mortality) Rates from Heart Attack Number of Patients - Hospital 30-Day Death (Mortality) Rates from Heart Attack Memo
Footnote - Hospital 30-Day Death (Mortality) Rates from Heart Attack Footnote - Hospital 30-Day Death (Mortality) Rates from Heart Attack Memo
Hospital 30-Day Death (Mortality) Rates from Heart Failure Hospital 30-Day Death (Mortality) Rates from Heart Failure Memo
Comparison to U.S. Rate - Hospital 30-Day Death (Mortality) Rates from Heart Failure Comparison to U.S. Rate - Hospital 30-Day Death (Mortality) Rates from Heart Failure Memo
Lower Mortality Estimate - Hospital 30-Day Death (Mortality) Rates from Heart Failure Lower Mortality Estimate - Hospital 30-Day Death (Mortality) Rates from Heart Failure Memo
Upper Mortality Estimate - Hospital 30-Day Death (Mortality) Rates from Heart Failure Upper Mortality Estimate - Hospital 30-Day Death (Mortality) Rates from Heart Failure Memo
Number of Patients - Hospital 30-Day Death (Mortality) Rates from Heart Failure Number of Patients - Hospital 30-Day Death (Mortality) Rates from Heart Failure Memo
Footnote - Hospital 30-Day Death (Mortality) Rates from Heart Failure Footnote - Hospital 30-Day Death (Mortality) Rates from Heart Failure Memo
Hospital 30-Day Death (Mortality) Rates from Pneumonia Hospital 30-Day Death (Mortality) Rates from Pneumonia Memo
Comparison to U.S. Rate - Hospital 30-Day Death (Mortality) Rates from Pneumonia Comparison to U.S. Rate - Hospital 30-Day Death (Mortality) Rates from Pneumonia Memo
Lower Mortality Estimate - Hospital 30-Day Death (Mortality) Rates from Pneumonia Lower Mortality Estimate - Hospital 30-Day Death (Mortality) Rates from Pneumonia Memo
Upper Mortality Estimate - Hospital 30-Day Death (Mortality) Rates from Pneumonia Upper Mortality Estimate - Hospital 30-Day Death (Mortality) Rates from Pneumonia Memo
Number of Patients - Hospital 30-Day Death (Mortality) Rates from Pneumonia Number of Patients - Hospital 30-Day Death (Mortality) Rates from Pneumonia Memo
Footnote - Hospital 30-Day Death (Mortality) Rates from Pneumonia Footnote - Hospital 30-Day Death (Mortality) Rates from Pneumonia Memo
Hospital 30-Day Readmission Rates from Heart Attack Hospital 30-Day Readmission Rates from Heart Attack Memo
Comparison to U.S. Rate - Hospital 30-Day Readmission Rates from Heart Attack Comparison to U.S. Rate - Hospital 30-Day Readmission Rates from Heart Attack Memo
Lower Readmission Estimate - Hospital 30-Day Readmission Rates from Heart Attack Lower Readmission Estimate - Hospital 30-Day Readmission Rates from Heart Attack Memo
Upper Readmission Estimate - Hospital 30-Day Readmission Rates from Heart Attack Upper Readmission Estimate - Hospital 30-Day Readmission Rates from Heart Attack Memo
Number of Patients - Hospital 30-Day Readmission Rates from Heart Attack Number of Patients - Hospital 30-Day Readmission Rates from Heart Attack Memo
Footnote - Hospital 30-Day Readmission Rates from Heart Attack Footnote - Hospital 30-Day Readmission Rates from Heart Attack Memo
Hospital 30-Day Readmission Rates from Heart Failure Hospital 30-Day Readmission Rates from Heart Failure Memo
Comparison to U.S. Rate - Hospital 30-Day Readmission Rates from Heart Failure Comparison to U.S. Rate - Hospital 30-Day Readmission Rates from Heart Failure Memo
Lower Readmission Estimate - Hospital 30-Day Readmission Rates from Heart Failure Lower Readmission Estimate - Hospital 30-Day Readmission Rates from Heart Failure Memo
Upper Readmission Estimate - Hospital 30-Day Readmission Rates from Heart Failure Upper Readmission Estimate - Hospital 30-Day Readmission Rates from Heart Failure Memo
Number of Patients - Hospital 30-Day Readmission Rates from Heart Failure Number of Patients - Hospital 30-Day Readmission Rates from Heart Failure Memo
Footnote - Hospital 30-Day Readmission Rates from Heart Failure Footnote - Hospital 30-Day Readmission Rates from Heart Failure Memo
Hospital 30-Day Readmission Rates from Pneumonia Hospital 30-Day Readmission Rates from Pneumonia Memo
Comparison to U.S. Rate - Hospital 30-Day Readmission Rates from Pneumonia Comparison to U.S. Rate - Hospital 30-Day Readmission Rates from Pneumonia Memo
Lower Readmission Estimate - Hospital 30-Day Readmission Rates from Pneumonia Lower Readmission Estimate - Hospital 30-Day Readmission Rates from Pneumonia Memo
Upper Readmission Estimate - Hospital 30-Day Readmission Rates from Pneumonia Upper Readmission Estimate - Hospital 30-Day Readmission Rates from Pneumonia Memo
Number of Patients - Hospital 30-Day Readmission Rates from Pneumonia Number of Patients - Hospital 30-Day Readmission Rates from Pneumonia Memo
Footnote - Hospital 30-Day Readmission Rates from Pneumonia Footnote - Hospital 30-Day Readmission Rates from Pneumonia Memo
  Location Memo

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Outcome of Care Measures - State

Physical: Data.Medicare.gov: Hospital Outcome Of Care Measures - State
Business: 30-Day Mortality and Readmission State Results
Description: 30-Day Mortality and Readmission measures state-level results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

State

State

Text(2)
Number of Hospitals whose 30-day Death (Mortality) Rates from Heart Attack are Better than U.S. National Rate Hospital 30-Day Death (Mortality) Rates from Heart Attack - Better than U.S. National Rate Memo
Number of Hospitals whose 30-Day Death (Mortality) Rates from Heart Attack are No different than U.S. National Rate Hospital 30-Day Death (Mortality) Rates from Heart Attack - No different than U.S. National Rate Memo
Number of Hospitals whose 30-Day Death (Mortality) Rates from Heart Attack are Worse than U.S. National Rate Hospital 30-Day Death (Mortality) Rates from Heart Attack - Worse than U.S. National Rate Memo
Number of Hospitals whose 30-Day Death (Mortality) Rates from Heart Attack are Number of Cases Too Small Hospital 30-Day Death (Mortality) Rates from Heart Attack - Number of Cases Too Small Memo
Number of Hospitals whose 30-Day Death (Mortality) Rates from Heart Failure are Better than U.S. National Rate Hospital 30-Day Death (Mortality) Rates from Heart Failure - Better than U.S. National Rate Memo
Number of Hospitals whose 30-Day Death (Mortality) Rates from Heart Failure are No different than U.S. National Rate Hospital 30-Day Death (Mortality) Rates from Heart Failure - No different than U.S. National Rate Memo
Number of Hospitals whose 30-Day Death (Mortality) Rates from Heart Failure are Worse than U.S. National Rate Hospital 30-Day Death (Mortality) Rates from Heart Failure - Worse than U.S. National Rate Memo
Number of Hospitals whose 30-Day Death (Mortality) Rates from Heart Failure are Number of Cases Too Small Hospital 30-Day Death (Mortality) Rates from Heart Failure - Number of Cases Too Small Memo
Number of Hospitals whose 30-Day Death (Mortality) Rates from Pneumonia are Better than U.S. National Rate Hospital 30-Day Death (Mortality) Rates from Pneumonia - Better than U.S. National Rate Memo
Number of Hospitals whose 30-Day Death (Mortality) Rates from Pneumonia are No different than U.S. National Rate Hospital 30-Day Death (Mortality) Rates from Pneumonia - No different than U.S. National Rate Memo
Number of Hospitals whose 30-Day Death (Mortality) Rates from Pneumonia are Worse than U.S. National Rate Hospital 30-Day Death (Mortality) Rates from Pneumonia - Worse than U.S. National Rate Memo
Number of Hospitals whose 30-Day Death (Mortality) Rates from Pneumonia are Number of Cases Too Small Hospital 30-Day Death (Mortality) Rates from Pneumonia - Number of Cases Too Small Memo
Number of Hospitals whose 30-day Readmission Rates from Heart Attack are Better than U.S. National Rate Hospital 30-Day Readmission Rates from Heart Attack - Better than U.S. National Rate Memo
Number of Hospitals whose 30-Day Readmission Rates from Heart Attack are No different than U.S. National Rate Hospital 30-Day Readmission Rates from Heart Attack - No different than U.S. National Rate Memo
Number of Hospitals whose 30-Day Readmission Rates from Heart Attack are Worse than U.S. National Rate Hospital 30-Day Readmission Rates from Heart Attack - Worse than U.S. National Rate Memo
Number of Hospitals whose 30-Day Readmission Rates from Heart Attack are Number of Cases Too Small Hospital 30-Day Readmission Rates from Heart Attack - Number of Cases Too Small Memo
Number of Hospitals whose 30-Day Readmission Rates from Heart Failure are Better than U.S. National Rate Hospital 30-Day Readmission Rates from Heart Failure - Better than U.S. National Rate Memo
Number of Hospitals whose 30-Day Readmission Rates from Heart Failure are No different than U.S. National Rate Hospital 30-Day Readmission Rates from Heart Failure - No different than U.S. National Rate Memo
Number of Hospitals whose 30-Day Readmission Rates from Heart Failure are Worse than U.S. National Rate Hospital 30-Day Readmission Rates from Heart Failure - Worse than U.S. National Rate Memo
Number of Hospitals whose 30-Day Readmission Rates from Heart Failure are Number of Cases Too Small Hospital 30-Day Readmission Rates from Heart Failure - Number of Cases Too Small Memo
Number of Hospitals whose 30-Day Readmission Rates from Pneumonia are Better than U.S. National Rate Hospital 30-Day Readmission Rates from Pneumonia - Better than U.S. National Rate Memo
Number of Hospitals whose 30-Day Readmission Rates from Pneumonia are No different than U.S. National Rate Hospital 30-Day Readmission Rates from Pneumonia - No different than U.S. National Rate Memo
Number of Hospitals whose 30-Day Readmission Rates from Pneumonia are Worse than U.S. National Rate Hospital 30-Day Readmission Rates from Pneumonia - Worse than U.S. National Rate Memo
Number of Hospitals whose 30-Day Readmission Rates from Pneumonia are Number of Cases Too Small Hospital 30-Day Readmission Rates from Pneumonia - Number of Cases Too Small Memo

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Outcome of Care Measures - National

Physical: Data.Medicare.gov: Hospital Outcome Of Care Measures - National Average
Business: 30-Day Mortality and Readmission National Results

Description: 30-Day Mortality and Readmission measures national results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Condition

Condition

Text(13)
Measure Name Measure Name Memo
National Mortality/Readmission Rate National Mortality/Readmission Rate Text(50)
Outpatient Imaging Efficiency Measures

Physical: Data.Medicare.gov: Use Of Medical Imaging Measures
Business: Outpatient Imaging Efficiency Hospital Results

Description: Outpatient Imaging Efficiency measures hospital-level results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Provider Number

Provider Number

Memo
Hospital Name Hospital Name Memo
Address 1 Address 1 Memo
Address 2 Address 2 Memo
Address 3 Address 3 Memo
City City Memo
State State Text(2)
ZIP Code ZIP Code Text(5)
County Name County Name Text(25)
Phone Number Phone Number Text(10)
Outpatients with low back pain who had an MRI without trying recommended treatments first such as physical therapy Outpatients with low back pain who had an MRI without trying recommended treatments first such as physical therapy Memo
Number of Patients 1 Number of Patients Memo
Footnote 1 Footnote Memo
Outpatients who had a follow-up mammogram or ultrasound within 45 days after a screening mammogram Outpatients who had a follow-up mammogram or ultrasound within 45 days after a screening mammogram Memo
Number of Patients 2 Number of Patients Who Had a Follow-up Memo
Footnote 2 Footnote (2) Memo
Outpatient CT scans of the abdomen that were “combination” (double) scans Outpatient CT scans of the abdomen that were “combination” (double) scans Memo
Number of Patients 3 Number of Patients Who Had Combination Scans Memo
Footnote 3 Footnote (3) Memo
Outpatient CT scans of the chest that were “combination” (double) scans Outpatient CT scans of the chest that were “combination” (double) scans Memo
Number of Patients 4 Number of Outpatients Who Had Combination Chest Scans Memo
Footnote 4 Footnote (4) Memo
Outpatients who got cardiac imaging stress tests before low-risk outpatient surgery Outpatients who got cardiac imaging stress tests before low-risk outpatient surgery Memo
Number of Patients 5 Number of Patients 5 Memo
Footnote 5 Footnote (5) Memo
Outpatients with brain CT scans who got a sinus CT scan at the same time Outpatients with brain CT scans who got a sinus CT scan at the same time Memo
Number of Patients 6 Number of Patients 6 Memo
Footnote 6 Footnote (6) Memo

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Outpatient Imaging Efficiency Measures - State

Physical: Data.Medicare.gov: Use Of Medical Imaging - State
Business: Outpatient Imaging Efficiency State Results

Description: Outpatient Imaging Efficiency measures state-level results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

State

State

Text(50)
Outpatients with low back pain who had an MRI without trying recommended treatments first such as physical therapy Outpatients with low back pain who had an MRI without trying recommended treatments first such as physical therapy Memo
Outpatients who had a follow-up mammogram or ultrasound within 45 days after a screening mammogram Outpatients who had a follow-up mammogram or ultrasound within 45 days after a screening mammogram Memo
Outpatient CT scans of the abdomen that were “combination” (double) scans Outpatient CT scans of the abdomen that were “combination” (double) scans Memo
Outpatient CT scans of the chest that were “combination” (double) scans Outpatient CT scans of the chest that were “combination” (double) scans Memo
Outpatients who got cardiac imaging stress tests before low-risk outpatient surgery Outpatients who got cardiac imaging stress tests before low-risk outpatient surgery Memo
Outpatients with brain CT scans who got a sinus CT scan at the same time Outpatients with brain CT scans who got a sinus CT scan at the same time Memo
Outpatient Imaging Efficiency Measures - National

Physical: Data.Medicare.gov: Use Of Medical Imaging - National
Business: Outpatient Imaging Efficiency National Results

Description: Outpatient Imaging Efficiency measures national results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Measure Name

Measure Name

Memo
Score Score Text(50)
Process of Care Measures - Children

Physical: Data.Medicare.gov: Hospital Process of Care Measures - Children's Asthma
Business: Process of Care—Children’s Asthma Care Hospital Results
Description: Process of Care—Children’s Asthma Care measures hospital-level results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Provider Number

Provider Number

Memo
Hospital Name Hospital Name Memo
Address 1 Address 1 Memo
Address 2 Address 2 Memo
Address 3 Address 3 Memo
City City Memo
State State Text(2)

ZIP Code

ZIP Code

Text(5)
County Name County Name Text(25)

Phone Number

Phone Number

Text(10)
Percent of Children Who Received Reliever Medication While Hospitalized for Asthma Percent of Children Who Received Reliever Medication While Hospitalized for Asthma Memo
Number of Patients 1 Number of Patients Memo
Footnote 1 Footnote Memo
Percent of Children Who Received Systemic Corticosteroid Medication While Hospitalized for Asthma Percent of Children Who Received Systemic Corticosteroid Medication While Hospitalized for Asthma Memo
Number of Patients 2 Number of Patients-2 Memo
Footnote 2 Footnote-2 Memo
Percent of Children and their Caregivers Who Received a Home Management Plan of Care Document While Hospitalized for Asthma Percent of Children and their Caregivers Who Received a Home Management Plan of Care Document While Hospitalized for Asthma Memo
Number of Patients 3 Number of Patients-3 Memo
Footnote 3 Footnote-3 Memo

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Process of Care Measures – Heart Attack

Physical: Data.Medicare.gov: Hospital Process of Care Measures - Heart Attack
Business: Process of Care—Heart Attack Hospital Results
Description: Process of Care—Heart Attack measures hospital-level results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type
Provider Number Provider Number Memo
Hospital Name Hospital Name Memo
Address 1 Address 1 Memo
Address 2 Address 2 Memo
Address 3 Address 3 Memo
City City Memo
State State Text(2)

ZIP Code

ZIP Code

Text(5)
County Name County Name Text(25)
Phone Number Phone Number Text(10)
Percent of Heart Attack Patients Given Aspirin at Discharge Percent of Heart Attack Patients Given Aspirin at Discharge Memo
Number of Patients 2 Number of Patients 2 Memo

Footnote 2

Footnote 2

Memo
Percent of Heart Attack Patients Given Fibrinolytic Medication Within 30 Minutes Of Arrival Percent of Heart Attack Patients Given Fibrinolytic Medication Within 30 Minutes Of Arrival Memo
Number of Patients 6 Number of Patients 6 Memo
Footnote 6 Footnote 6 Memo
Percent of Heart Attack Patients Given PCI Within 90 Minutes Of Arrival Percent of Heart Attack Patients Given PCI Within 90 Minutes Of Arrival Memo
Number of Patients 7 Number of Patients 7 Memo
Footnote 7 Footnote 7 Memo
Average number of minutes before outpatients with chest pain or possible heart attack got an ECG Average number of minutes before outpatients with chest pain or possible heart attack got an ECG Memo
Number of Patients 8 Number of Patients 8 Memo
Footnote 8 Footnote 8 Memo
Average number of minutes before outpatients with chest pain or possible heart attack were transferred to another hospital Average number of minutes before outpatients with chest pain or possible heart attack were transferred to another hospital Memo
Number of Patients 9 Number of Patients 9 Memo
Footnote 9 Footnote 9 Memo
Outpatients with chest pain or possible heart attack who got aspirin within 24 hours of arrival Outpatients with chest pain or possible heart attack who got aspirin within 24 hours of arrival Memo
Number of Patients 11 Number of Patients 11 Memo
Footnote 11 Footnote 11 Memo
Outpatients with chest pain or possible heart attack who got drugs to break up blood clots within 30 minutes of arrival Outpatients with chest pain or possible heart attack who got drugs to break up blood clots within 30 minutes of arrival Memo
Number of Patients 12 Number of Patients 12 Memo
Footnote 12 Footnote 12 Memo
Heart Attack Patients Given a Prescription for a Statin at Discharge Heart Attack Patients Given a Prescription for a Statin at Discharge Memo
Number of Patients 13 Number of Patients 13 Memo
Footnote 13 Footnote 13 Memo
Median Time to Fibrinolysis Median Time to Fibrinolysis Memo
Number of Patients 10 Number of Patients 10 Memo
Footnote 10 Footnote 10 Memo

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Process of Care Measures – Heart Failure

Physical: Data.Medicare.gov: Hospital Process of Care Measures - Heart Failure
Business: Process of Care—Heart Failure Hospital Results

Description: Process of Care—Heart Failure measures hospital-level results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Provider Number

Provider Number

Memo
Hospital Name Hospital Name Memo
Address 1 Address 1 Memo
Address 2 Address 2 Memo
Address 3 Address 3 Memo
City City Memo
State State Text(2)

ZIP Code

ZIP Code

Text(5)
County Name County Name Text(25)
Phone Number Phone Number Text(10)
Percent of Heart Failure Patients Given an Evaluation of Left Ventricular Systolic (LVS) Function Percent of Heart Failure Patients Given an Evaluation of Left Ventricular Systolic (LVS) Function Memo
Number of Patients 1 Number of Patients Memo
Footnote 1 Footnote Memo
Percent of Heart Failure Patients Given ACE Inhibitor or ARB for Left Ventricular Systolic Dysfunction (LVSD) Percent of Heart Failure Patients Given ACE Inhibitor or ARB for Left Ventricular Systolic Dysfunction (LVSD) Memo
Number of Patients 2 Number of Patients 2 Memo
Footnote 2 Footnote 2 Memo
Percent of Heart Failure Patients Given Discharge Instructions Percent of Heart Failure Patients Given Discharge Instructions Memo
Number of Patients 3 Number of Patients 3 Memo
Footnote 3 Footnote 3 Memo

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Process of Care Measures – Pneumonia

Physical: Data.Medicare.gov: Hospital Process of Care Measures - Pneumonia
Business: Process of Care—Pneumonia Hospital Results

Description: Process of Care—Pneumonia measures hospital-level results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Provider Number

Provider Number

Memo
Hospital Name Hospital Name Memo

Address 1

Address 1

Memo

Address 2

Address 2

Memo
Address 3 Address 3 Memo
City City Memo
State State Text(2)

ZIP Code

ZIP Code

Text(5)

County Name

County Name

Text(25)
Phone Number Phone Number Text(10)
Percent of Pneumonia Patients Whose Initial ER Blood Culture Was Performed Prior To Administration Of First Dose Of Antibiotics Percent of Pneumonia Patients Whose Initial ER Blood Culture Was Performed Prior To Administration Of First Dose Of Antibiotics Memo

Number of Patients 2

Number of Patients 2

Memo
Footnote 2 Footnote 2 Memo
Percent of Pneumonia Patients Given the Most Appropriate Initial Antibiotic(s) Percent of Pneumonia Patients Given the Most Appropriate Initial Antibiotic(s) Memo

Number of Patients 4

Number of Patients 4

Memo
Footnote 4 Footnote 4 Memo
Process of Care Measures – SCIP

Physical: Data.Medicare.gov: Hospital Process of Care Measures - Surgical Care Improvement Project

Business: Process of Care—Surgical Care Improvement Project Hospital Results
Description: Process of Care—Surgical Care Improvement Project measures hospital-level results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Provider Number

Provider Number

Memo
Hospital Name Hospital Name Memo
Address 1 Address 1 Memo
Address 2 Address 2 Memo
Address 3 Address 3 Memo
City City Memo
State State Text(2)

ZIP Code

ZIP Code

Text(5)

County Name

County Name

Text(25)
Phone Number Phone Number Text(10)
Surgery patients who were given an antibiotic at the right time (within one hour before surgery) to help prevent infection Percent of Surgery Patients given an antibiotic at the right time (within one hour before surgery) to help prevent infection Memo

Number of Patients 1

Number of Patients 1

Memo
Footnote 1 Footnote 1 Memo
Surgery patients whose preventive antibiotics were stopped at the right time (within 24 hours after surgery) Percent of Surgery Patients whose preventive antibiotics were stopped at the right time (within 24 hours after surgery) Memo
Number of Patients 2 Number of Patients 2 Memo
Surgery patients who were given the right kind of antibiotic to help prevent infection Percent of Surgery Patients who were given the right kind of antibiotic to help prevent infection Memo
Number of Patients 3 Number of Patients 3 Memo
Footnote 3 Footnote 3 Memo
Patients who got treatment at the right time (within 24 hours before or after their surgery) to help prevent blood clots Percent of Surgery Patients who got treatment at right time (within 24 hours before or after surgery) to help prevent blood clot Memo
Number of Patients 4 Number of Patients 4 Memo
Footnote 4 Footnote 4 Memo
Surgery patients whose doctors ordered treatments to prevent blood clots after certain types of surgeries Percent of Surgery Patients whose doctors ordered treatments to prevent blood clots after certain types of surgeries Memo
Number of Patients 5 Number of Patients 5 Memo
Footnote 5 Footnote 5 Memo
Heart surgery patients whose blood sugar (blood glucose) is kept under good control in the days right after surgery Percent of all Heart Surgery Patients whose blood sugar is kept under good control in the days right after surgery Memo
Number of Patients 6 Number of Patients 6 Memo
The percent of surgery patients whose urinary catheters were removed on the first or second day after surgery Percent of Surgery Patients whose urinary catheters were removed on the first or second day after surgery Memo
Number of Patients 11 Number of Patients 11 Memo
Footnote 11 Footnote 11 Memo
Surgery patients who were taking heart drugs called beta blockers before coming to the hospital who were kept on them Surgery patients who were taking heart drugs called beta blockers before coming to the hospital who were kept on them Memo
Number of Patients 8 Number of Patients 8 Memo
Footnote 8 Footnote 8 Memo
Outpatients having surgery who got an antibiotic at the right time - within one hour before surgery (higher numbers are better) Outpatients having surgery who got an antibiotic at the right time - within one hour before surgery (higher numbers are better) Memo
Number of Patients 9 Number of Patients 9 Memo
Footnote 9 Footnote 9 Memo
Outpatients having surgery who got the right kind of antibiotic (higher numbers are better) Outpatients having surgery who got the right kind of antibiotic (higher numbers are better) Memo
Number of Patients 10 Number of Patients 10 Memo
Footnote 10 Footnote 10 Memo
Patients having surgery who were actively warmed in the operating room or whose body temperature was near normal Patients having surgery who were actively warmed in the operating room or whose body temperature was near normal Memo
Number of Patients 13 Number of Patients 13 Memo
Footnote 13 Footnote 13 Memo

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Process of Care Measures – State

Physical: Data.Medicare.gov: Hospital Process of Care Measures - State Average
Business: Process of Care State Results
Description: Process of Care measures state-level results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

State

State

Text(2)
Percent of Heart Attack Patients Given Aspirin at Discharge Percent of Heart Attack Patients Given Aspirin at Discharge Memo
Percent of Heart Attack Patients Given Fibrinolytic Medication Within 30 Minutes Of Arrival Percent of Heart Attack Patients Given Fibrinolytic Medication Within 30 Minutes Of Arrival Memo
Percent of Heart Attack Patients Given PCI Within 90 Minutes Of Arrival Percent of Heart Attack Patients Given PCI Within 90 Minutes Of Arrival Memo
Percent of Heart Failure Patients Given an Evaluation of Left Ventricular Systolic (LVS) Function Percent of Heart Failure Patients Given an Evaluation of Left Ventricular Systolic (LVS) Function Memo
Percent of Heart Failure Patients Given ACE Inhibitor or ARB for Left Ventricular Systolic Dysfunction (LVSD) Percent of Heart Failure Patients Given ACE Inhibitor or ARB for Left Ventricular Systolic Dysfunction (LVSD) Memo
Percent of Heart Failure Patients Given Discharge Instructions Percent of Heart Failure Patients Given Discharge Instructions Memo
Percent of Pneumonia Patients Whose Initial ER Blood Culture Was Performed Prior To Administration Of First Dose Of Antibiotics Percent of Pneumonia Patients Whose Initial ER Blood Culture Was Performed Prior To Administration Of First Dose Of Antibiotics Memo
Percent of Pneumonia Patients Given the Most Appropriate Initial Antibiotic(s) Percent of Pneumonia Patients Given the Most Appropriate Initial Antibiotic(s) Memo

Surgery patients who were given an antibiotic at the right time (within one hour before surgery) to help prevent infection

Surgery patients who were given an antibiotic at the right time (within one hour before surgery) to help prevent infection

Memo

Surgery patients whose preventive antibiotics were stopped at the right time (within 24 hours after surgery)

Surgery patients whose preventive antibiotics were stopped at the right time (within 24 hours after surgery)

Memo
Surgery patients who were given the right kind of antibiotic to help prevent infection Surgery patients who were given the right kind of antibiotic to help prevent infection Memo
Patients who got treatment at the right time (within 24 hours before or after their surgery) to help prevent blood clots Patients who got treatment at the right time (within 24 hours before or after their surgery) to help prevent blood clots Memo
Surgery patients whose doctors ordered treatments to prevent blood clots after certain types of surgeries Surgery patients whose doctors ordered treatments to prevent blood clots after certain types of surgeries Memo
Heart surgery patients whose blood sugar (blood glucose) is kept under good control in the days right after surgery Heart surgery patients whose blood sugar (blood glucose) is kept under good control in the days right after surgery Memo
The percent of surgery patients whose urinary catheters were removed on the first or second day after surgery The percent of surgery patients whose urinary catheters were removed on the first or second day after surgery Memo
Surgery patients who were taking heart drugs called beta blockers before coming to the hospital, who were kept on them Surgery patients who were taking heart drugs called beta blockers before coming to the hospital, who were kept on them Memo
Percent of Children Who Received Reliever Medication While Hospitalized for Asthma Percent of Children Who Received Reliever Medication While Hospitalized for Asthma Memo
Percent of Children Who Received Systemic Corticosteroid Medication While Hospitalized for Asthma Percent of Children Who Received Systemic Corticosteroid Medication While Hospitalized for Asthma Memo
Percent of Children and their Caregivers Who Received a Home Management Plan of Care Document While Hospitalized for Asthma Percent of Children and their Caregivers Who Received a Home Management Plan of Care Document While Hospitalized for Asthma Memo
Outpatients having surgery who got an antibiotic at the right time - within one hour before surgery (higher numbers are better) Outpatients having surgery who got an antibiotic at the right time - within one hour before surgery (higher numbers are better) Memo
Outpatients having surgery who got the right kind of antibiotic (higher numbers are better) Outpatients having surgery who got the right kind of antibiotic (higher numbers are better) Memo
Average number of minutes before outpatients with chest pain or possible heart attack got an ECG Average number of minutes before outpatients with chest pain or possible heart attack got an ECG Memo
Average number of minutes before outpatients with chest pain or possible heart attack were transferred to another hospital Average number of minutes before outpatients with chest pain or possible heart attack were transferred to another hospital Memo
Median Time to Fibrinolysis Median Time to Fibrinolysis Memo
Outpatients with chest pain or possible heart attack who got aspirin within 24 hours of arrival Outpatients with chest pain or possible heart attack who got aspirin within 24 hours of arrival Memo
Outpatients with chest pain or possible heart attack who got drugs to break up blood clots within 30 minutes of arrival Outpatients with chest pain or possible heart attack who got drugs to break up blood clots within 30 minutes of arrival Memo
Heart Attack Patients Given a Prescription for a Statin at Discharge Heart Attack Patients Given a Prescription for a Statin at Discharge Memo
Patients having surgery who were actively warmed in the operating room or whose body temperature was near normal Patients having surgery who were actively warmed in the operating room or whose body temperature was near normal Memo

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Process of Care Measures – National

Physical: Data.Medicare.gov: Hospital Process of Care Measures - National Average
Business: Process of Care National Results
Description: Process of Care measures national results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Measure name

Measure name

Memo
Condition Condition Memo
Category Category Memo
National Process of Care Rate National Process of Care Rate Memo
READMISSION_REDUCTION

Physical: Data.Medicare.gov: Hospital Readmission Reduction
Business: Readmission Reduction Hospital Results
Description: Readmission Reduction measures hospital-level results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Hospital Name

Hospital Name

Memo
Provider Number Provider Number Memo
State State Text(2)
Measure Name Measure Name Memo
Number of Discharges Number of Discharges Memo
Footnote Footnote Memo
Excess Readmission Ratio Excess Readmission Ratio Memo
Predicted Readmission Rate Predicted Readmission Rate Memo
Expected Readmission Rate Expected Readmission Rate Memo
Number of Readmissions Number of Readmissions Memo

Start Date

Start Date

Memo
End Date End Date Memo
Structural Measures

Physical: Data.Medicare.gov: Hospital Structural Measures - Cardiac Surgery Registry
Business: Structural Hospital Results

Description: Structural measures hospital-level results

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Provider Number

Provider Number

Memo

Hospital Name

Hospital Name

Memo

Address 1

Address 1

Memo

Address 2

Address 2

Memo

Address 3

Address 3

Memo

City

City

Memo

State

State

Text(2)

ZIP Code

ZIP Code

Text(5)

County Name

County Name

Text(25)

Phone Number

Phone Number

Text(10)
Measure Name Measure Name Memo
Measure Response Measure Response Memo

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Measure Crosswalk

Physical: Data.Medicare.gov: Measure Crosswalk
Business: Measure Crosswalk
Description: Hospital Compare measure crosswalk

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type

Provider Number

 

Memo

Hospital Name

 

Memo

State

 

Text(2)

Condition

 

Memo

Measure Code

 

Memo

Measure Name

 

Memo

Score

 

Memo

Sample

 

Memo

Footnote

 

Memo

Hospital Compare - CASPER/ASPEN Contacts

Physical: Data.Medicare.gov: Hospital Compare - CASPER/ASEN Contacts
Business: Hospital Compare - CASPER/ASEN Contacts
Description: Hospital Compare measure crosswalk

CSV Revised File Column Name Data.Medicare.gov Column Name DDB Data Type
 

State

Memo
 

Compare Tool

Memo
 

E-mail Address

Memo
 

Phone

Memo

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Appendix A – Hospital Compare Measures

Timely and Effective Care

Acute Myocardial Infarction

Measure ID

 Measure Description

AMI–2

Heart Attack Patients Given Aspirin at Discharge

AMI–7a

Heart Attack Patients Given Fibrinolytic Medication Within 30 Minutes Of Arrival

AMI–8a

Heart Attack Patients Given PCI Within 90 Minutes Of Arrival

AMI–10 Heart Attack Patients Given a Prescription for a Statin at Discharge
OP–1 Median Time to Fibrinolysis
OP–2 Outpatients with chest pain or possible heart attack who got drugs to break up blood clots within 30 minutes of arrival
OP–3b Average number of minutes before outpatients with chest pain or possible heart attack who needed specialized care were transferred to another hospital

OP–4

Outpatients with chest pain or possible heart attack who got aspirin within 24 hours of arrival

OP–5

Average number of minutes before outpatients with chest pain or possible heart attack got an ECG

Heart Failure

Measure ID

 Measure Description

HF–1

Patients Given Discharge Instructions

HF–2

Patients Given An Evaluation of Left Ventricular Systolic (LVS) Function

HF–3

Patients Given ACE Inhibitor or ARB for Left Ventricular Systolic Dysfunction (LVSD)

Pneumonia

Measure ID

 Measure Description

PN–3b

Patients Whose Initial Emergency Room Blood Culture Was Performed Prior to the Administration of the First Hospital Dose of Antibiotics

PN–6

Pneumonia Patients Given the Most Appropriate Initial Antibiotic(s)

Surgical Care Improvement

Measure ID

 Measure Description

SCIP–Inf–1a

Surgery Patients Who Received Preventative Antibiotic(s) One Hour Before Incision

SCIP–Inf–2a

Percent of Surgery Patients who Received the Appropriate Preventative Antibiotic(s) for Their Surgery

SCIP–Inf–3a

Surgery Patients Whose Preventative Antibiotic(s) are Stopped Within 24 hours After Surgery

SCIP–Inf–4

Heart surgery patients whose blood sugar (blood glucose) is kept under good control in the days right after surgery

SCIP–Inf–9

Surgery patients whose urinary catheter was removed on the first or second day after surgery.

SCIP–Inf–10

Patients having surgery who were actively warmed in the operating room or whose body temperature was near normal by the end of surgery

SCIP–VTE–1 Surgery Patients Whose Doctors Ordered Treatments to Prevent Blood Clots (Venous Thromboembolism) For Certain Types of Surgeries
SCIP–VTE–2 Surgery Patients Who Received Treatment To Prevent Blood Clots Within 24 Hours Before or after Selected Surgeries to Prevent Blood Clots
SCIP–Card–2 Percent of surgery patients who were taking heart drugs called beta blockers before coming to the hospital, who were kept on the beta blockers during the period just before and after their surgery
OP–6 Outpatients having surgery who got an antibiotic at the right time – within one hour before surgery
OP–7

Outpatients having surgery who got the right kind of antibiotic

.
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Measure ID Measure Description

Emergency Department

Measure ID

 Measure Description

ED–1b

Average (median) time patients spent in the emergency department, before they were admitted to the hospital as an inpatient

ED–2b

Average (median) time patients spent in the emergency department, after the doctor decided to admit them as an inpatient before leaving the emergency department for their inpatient room

OP–18b

Average time patients spent in the emergency department before being sent home

OP–20

Average time patients spent in the emergency department before they were seen by a healthcare professional

OP–21

Average time patients who came to the emergency department with broken bones had to wait before receiving pain medication

OP-22

Percentage of patients who came to the emergency department with stroke symptoms who received brain scan results within 45 minutes of arrival.

OP–23

Percentage of patients who came to the emergency department with stroke symptoms who received brain scan results within 45 minutes of arrival

Preventative Care

Measure ID

 Measure Description

IMM–1a

Pneumococcal Immunization

IMM–2

Influenza Immunization

Children’s Asthma Care

Measure ID

 Measure Description

CAC–1a

Percent of Children Who Received Reliever Medication While Hospitalized for Asthma

CAC–2a

Percent of Children Who Received Systemic Corticosteroid Medication (oral and IV Medication That Reduces Inflammation and Controls Symptoms) While Hospitalized for Asthma

CAC–3

Percent of Children and their Caregivers Who Received a Home Management plan of Care Document While Hospitalized for Asthma

Readmissions, Complications, and Deaths - 30–Day Mortality and Readmissions

 

Measure ID

 Measure Description

MORT–30–AMI

Acute Myocardial Infarction 30–Day Mortality Rate

MORT–30–HF

Heart Failure 30–Day Mortality Rate

MORT–30–PN

Pneumonia 30–Day Mortality Rate

READM–30–AMI

Acute Myocardial Infarction 30–Day Readmission Rate

READM–30–HF

Heart Failure 30–Day Readmission Rate

READM–30–PN

Pneumonia 30–Day Readmission Rate

AHRQ Patient Safety Indicators (PSIs) and Inpatient Quality Indicators (IQIs)

Measure ID

 Measure Description

PSI–04 Death Among Surgical Patients with Serious, Treatable Complications
PSI–06 Iatrogenic Pneumothorax
PS–12 Post–Operative Pulmonary Embolism (PE) or Deep Vein Thrombosis (DVT)
PSI–14 Postoperative Wound Dehiscence
PSI–15 Accidental Puncture or Laceration
PSI–90 Complication/Patient Safety for Selected Indicators
IQI–11 Abdominal Aortic Aneurysm (AAA) Mortality Rate
IQI–19 Hip Fracture Mortality Rate
IQI–91 Mortality for Selected Medical Conditions


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Hospital-Acquired Conditions (HACs)

Measure ID

 Measure Description

HAC-1

Foreign Object Retained After Surgery

HAC-2

Air Embolism

HAC-3

Blood Incompatibility

HAC-4 Pressure Ulcer Stages III & IV

HAC-5

Falls and trauma (Includes Fracture, dislocation, intracranial injury, crushing injury, burn, other injuries)

HAC-6

Vascular catheter–associated infections

HAC-7

Catheter-associated urinary tract Infection (CAUTI)

HAC-8

Manifestations of Poor Glycemic Control

Healthcare-Associated Infections (HAIs)

Measure ID

 Measure Description

HAI-1

Central-line associated bloodstream infection (CLABSI)
HAI-2 Catheter-associated urinary tract infection (CAUTI)
HAI-3 Surgical site infections from colon surgery (SSI: Colon)
HAI-4 Surgical site infections from abdominal hysterectomy (SSI: Hysterectomy)

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Outpatient Imaging Efficiency

Measure ID

 Measure Description

OP–8

Outpatients with low back pain who had an MRI without trying recommended treatments first, such as physical therapy. (If a number is high, it may mean the facility is doing too many unnecessary MRIs for low back pain.)

OP–9

Outpatients who had a follow–up mammogram or ultrasound within 45 days after a screening mammogram. (A number that is much lower than 8% may mean there’s not enough follow–up. A number much higher than 14% may mean there’s too much unnecessary follow–up.)

OP–10

Outpatient CT scans of the abdomen that were “combination” (double) scans. (The range for this measure is 0 to 1. A number very close to 1 may mean that too many patients are being given a double scan when a single scan is all they need.)

OP–11

Outpatient CT scans of the chest that were “combination” (double) scans. (The range for this measure is 0 to 1. A number very close to 1 may mean that too many patients are being given a double scan when a single scan is all they need.)

OP–13

Outpatients who got cardiac imaging stress tests before low–risk outpatient surgery.

OP–14

Outpatients with brain CT scans who got a sinus CT scan at the same time.

Structural Measures

Measure ID

 Measure Description

SM_PART_CARD

Participation in a systematic database for cardiac surgery

SM_PART_STROKE

Participation in a systematic database for stroke care

SM_PART_NURSE

Participation in a systematic database for nursing sensitive care

ACS_REGISTRY

Participation in a multispecialty surgical registry

OP–12

The ability for providers with HIT to receive laboratory data electronically directly into their qualified/certified EHR system as discrete searchable data

OP–17

Tracking clinical results between visits

Number of Medicare Patients and Medicare

Payment Measure Description

Number of Medicare patient discharges for selected MS–DRGs

Spending per hospital patient with Medicare: Medicare spending per beneficiary

Hospital Readmissions Reduction Program

Measure Description

Acute Myocardial Infarction 30–Day Readmission Rate

Heart Failure 30–Day Readmission Rate

Pneumonia 30–Day Readmission Rate

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Hospital Value-Based Purchasing

Measure Description

HVBP Acute Myocardial Infarction Score
HVBP Healthcare Associated Infection Score
HVBP HCAHPS Score
HVBP Heart Failure Score
HVBP Pneumonia Score
HVBP Surgical Care Improvement Project Score
HVBP Clinical Process of Care Domain Score
HVBP Clinical Process of Care Domain Score
HVBP Total Performance Score


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Appendix B – HCAHPS Survey Question Listing

Composite Topics

  • Nurse Communication (Questions 1, 2, 3)
  • Doctor Communication (Questions 5, 6, 7)
  • Responsiveness of Hospital Staff (Questions 4, 11)
  • Pain Management (Questions 13, 14)
  • Communication About Medicines (Questions 16, 17)
  • Discharge Information (Questions 19, 20)

Individual Topics

  • Cleanliness of Hospital Environment (Question 8)
  • Quietness of Hospital Environment (Question 9)

Overall Ratings

  • Overall Rating of Hospital (Question 21)
  • Willingness to Recommend Hospital (Question 22)

 

#

 Question

Q1

During this hospital stay how often did nurses treat you with courtesy and respect?

Q2

During this hospital stay how often did nurses listen carefully to you?

Q3

During this hospital stay how often did nurses explain things in a way you could understand?

Q4

During this hospital stay, after you pressed the call button, how often did you get help as soon as you wanted it?

Q5

During this hospital stay, how often did doctors treat you with courtesy and respect?

Q6

During this hospital stay, how often did doctors listen carefully to you?

Q7

During this hospital stay, how often did doctors explain things in a way you could understand?

Q8

During this hospital stay, how often were your room and bathroom kept clean?

Q9

During this hospital stay, how often was the area around your room quiet at night?

Q10

During this hospital stay, did you need help from nurses or other hospital staff in getting to the bathroom or in using a bedpan?

Q11

How often did you get help in getting to the bathroom or in using a bedpan as soon as you wanted?

Q12

During this hospital stay, did you need medicine for pain?

Q13

During this hospital stay, how often was your pain well controlled?

Q14

During this hospital stay, how often did the hospital staff do everything they could to help you with your pain?

Q15

During this hospital stay, were you given any medicine that you had not taken before?

Q16

Before giving you any new medicine how often did hospital staff tell you what the medicine was for?

Q17

Before giving you any new medicine how often did hospital staff describe possible side effects in a way you could understand?

Q18

After you left the hospital, did you go directly to your own home, to someone else’s home, or to another health facility?

Q19

During this hospital stay, did doctors, nurses or other hospital staff talk with you about whether you would have the help you needed when you left the hospital?

Q20

During this hospital stay, did you get information in writing about what symptoms or health problems to look out for after you left the hospital?

Q21 Using any number from 0 to 10, where 0 is the worst hospital possible and 10 is the best hospital possible, what number would you use to rate this hospital during your stay?
Q22 Would you recommend this hospital to your friends and family?
Q23 During this hospital stay, staff took my preferences and those of my family or caregiver into account in deciding what my health care needs would be when I left?
Q24 When I left the hospital, I had a good understanding of the things I was responsible for in managing my health
Q25 When I left the hospital, I clearly understood the purpose for taking each of my medications.
Q26 During this hospital stay, were you admitted to this hospital through the Emergency Room?
Q27 In general, how would you rate your overall health?
Q28 In general, how would you rate your overall mental or emotional health?
Q29 What is the highest grade or level of school that you have completed?
Q30 Are you of Spanish, Hispanic or Latino origin or descent?
Q31 What is your race? Please choose one or more.
Q32 What language do you mainly speak at home?


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Appendix C – Footnote Crosswalk

Hospital Compare Footnote Values
The letter footnotes below are associated with the Hospital Compare quality measures, and the number footnotes in italics below are associated with the Hospital Compare quality measures:
 

ID

Footnote Text

a Source: Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) Survey.




b

This is the middle range of payments for the most typical cases treated in this geographic area for this condition or procedure.
c Number of Medicare Patients Treated: The number of discharges the hospital treated for each MS-DRG for the current data collection period. The United States and state average of Medicare Patients does not include hospitals with zero cases.
d The payment and volume information is for acute care hospitals. Critical Access Hospitals (CAH) are not included because they are paid using another method.
e Payment cannot be computed as there were no Medicare discharges for this MS-DRG for the current data collection period.
f An asterisk (*) appears in the table where data cannot be disclosed to protect personal health information due to the small number of Medicare patients (fewer than 11).

g

This hospital is currently not submitting data for Hospital Process of Care, Hospital Outcome of Care Measures and/or the Hospital Consumer Assessment of Health Providers and Systems (HCAHPS) Patient Survey.



h

This column shows the number of patients with Original Medicare who were admitted to the hospital for heart attack, heart failure or pneumonia conditions. The hospital may also have treated additional Medicare patients in Medicare health plans (like an HMO or PPO).
i The number of cases is too small (fewer than 25) to reliably tell how well the hospital is performing.

j

Medicare requires hospitals to have at least 25 qualifying cases to have their results reported. This hospital had less than 25 cases.
1 The number of cases is too small to reliably tell how well a hospital is performing.
For each measure, the rate is the percent of patients for whom the treatment is appropriate.Where these numbers are small (fewer than 25 patients), the calculated rate may not accurately predict the hospital’s future performance. As the quality data base is expanded to a full rolling four quarters of data for each measure, the number of cases used to determine hospitals’ rates will likely increase, thereby increasing the reliability and stability of the rates. Note: This footnote does not necessarily reflect hospital size or overall patient volume.


2

The hospital indicated that the data submitted for this measure were based on a sample of cases.
A rate may be based upon the total number of cases treated by a hospital, or for a facility with a large caseload, a rate may be based on a random sample of the cases the hospital treated. This footnote indicates that a hospital chose to submit data for a sample of its total cases (following specific rules for how to the select the cases).

3

Data were collected during a shorter time period (fewer quarters) than the maximum possible time for this measure.
Each rate reflects the care given over a specific time period, up to a maximum of four quarters during a 12 month period. The number of quarters of data available is determined by when hospitals first began to report data using a specific measure. This footnote indicates that the hospital's rate was based on data from fewer than the maximum possible number of quarters that the measure was generally collected.
4 Suppressed for one or more quarters by CMS.
Hospitals are required to submit accurate, reportable data to the Centers for Medicare and Medicaid Services (CMS). The rates for these measures were calculated by excluding data that had been suppressed for one or more quarters because they were identified as inaccurate.
5 No data are available from the hospital for this measure.
Hospitals volunteer to provide data for reporting on Hospital Compare. This footnote is applied when the hospital did not submit any cases for a measure.
6 Fewer than 100 patients completed the HCAHPS survey. Use these scores with caution, as the number of surveys may be too low to reliably assess hospital performance.
The number of completed surveys the hospital or its vendor provided to CMS is less than 100.
7 Survey results are based on less than 12 months of data.
This footnote is applied when HCAHPS results are based on less than 12 months of survey data.
8 Survey results are not available for this reporting period.
This footnote is applied when a hospital did not participate in HCAHPS, did not collect sufficient HCAHPS data for public reporting purposes, or chose to suppress their HCAHPS results.
9 No or very few patients were eligible for the HCAHPS Survey.
This footnote is applied when a hospital has no patients eligible to participate in the HCAHPS survey.
10 A state average was not calculated because too few hospitals in the state submitted data.
This footnote is applied when too few hospitals submitted data.
11 There were discrepancies in the data collection process.
This footnote is applied when there have been deviations from HCAHPS data collection protocols. CMS is working with survey vendors and/or hospitals to correct this situation.
12 Very few patients were eligible for the HCAHPS survey. The scores shown reflect fewer than 50 completed surveys. Use these scores with caution, as the number of surveys may be too low to reliably assess hospital performance.
This footnote is applied when the number of completed surveys the hospital or its vendor provided to CMS is less than 50.
13 These measures are included in the composite measure calculations but Medicare is not reporting them at this time.
14 No data are available for publication from the hospital for this measure because there were zero central line days.
15 No data are available for publication from the hospital for this measure because this hospital does not have ICU locations.
16 The number of cases is too small (fewer than 10) to reliably tell how well the hospital is performing.
17 No data are available from the hospital for this measure.
18 Number of cases is too small (fewer than 25) to report and excess readmission ratio.
19 The hospital is not included in the Hospital Readmissions Reduction Program.
20 Data aren’t available for this reporting as the hospital is a new member of the surgical registry and didn’t have an opportunity to submit any cases for the measure.
21 Data aren’t available for the voluntary public reporting of this measure.
"0 patients" The notation "0 patients" is applied when no patients met the criteria for inclusion in that particular measure’s calculation.


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ID Footnote Text

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ID Footnote Text

Data.Medicare.Gov

Source: https://data.medicare.gov/

Download, Explore, and Visualize Medicare.gov Data

  • Home My Note: This page

Datasets

Hospital Compare Data

Source: https://data.medicare.gov/data/hospital-compare

My Note: 56 data sets viewed in Socrata with 7 categories

Official Hospital Compare Data

These are the official datasets used on the Medicare.gov Hospital Compare Website provided by the Centers for Medicare & Medicaid Services. These data allow you to compare the quality of care at over 4,000 Medicare-certified hospitals across the country.

Download All Data

Microsoft Access Database 
Updated: Dec 18, 2014
CSV Flat Files – Revised 
Updated: Dec 18, 2014

Supporting Documentation

Announcements

Nursing Home Compare Data

Source: https://data.medicare.gov/data/nursing-home-compare

My Note: 18 data sets viewed in Socrata with 6 categories

Official Nursing Home Compare Data

These are the official datasets used on the Medicare.gov Nursing Home Compare Website provided by the Centers for Medicare & Medicaid Services. These data allow you to compare the quality of care at every Medicare and Medicaid-certified nursing home in the country, including over 15,000 nationwide.

Download All Data

Microsoft Access Database 
Updated: Dec 18, 2014
CSV Flat Files – Revised 
Updated: Dec 18, 2014

Supporting Documentation

Physician Compare Data

Source: https://data.medicare.gov/data/physician-compare

My Note: 4 data sets viewed in Socrata with 1 category

Official Physician Compare Data

These are the official datasets associated with the Medicare.gov Physician Compare Website provided by the Centers for Medicare & Medicaid Services (CMS). These data give you useful information about the physicians and other health care professionals currently enrolled in Medicare. The Physician Compare National Downloadable file includes general information, such as demographic information and Medicare quality program participation, for individual eligible professionals (EPs). The Physician Compare 2013 Public Reporting downloadable file provides the 2013 Physician Quality Report System (PQRS) Group Practice Reporting Option (GPRO) performance rates for the three Diabetes Mellitus (DM) measures and one Coronary Artery Disease (CAD) measure now publicly reported on Physician Compare. Data are publicly available for the 139 group practices of 25 or more eligible professionals (EPs) that successfully reported data under the 2013 PQRS GPRO via the Web Interface. Also included in this file is information about which group practices participated in the eRx Incentive Program and the PQRS program. Because only Web Interface data are included, not all group practices that participated in PQRS under GPRO will have measure data in this file. For information about public reporting on Physician Compare, visit the Physician Compare Initiative page.

Because of data use agreements with data vendors, not all data on Physician Compare can be shared in the National Downloadable file. For more information about what is included in this database and how it differs from the information on the Physician Compare Website, refer to the Downloadable Database dictionary.

Download All Data

CSV Flat Files – Revised 
Updated: Dec 18, 2014

Supporting Documentation

Announcements

For more information about Physician Compare and future plans for public reporting on Physician Compare, visit the Physician Compare Initiative Page on CMS.gov.

Home Health Compare Data

Source: https://data.medicare.gov/data/home-health-compare

My Note: 10 data sets viewed in Socrata with 3 categories

Official Home Health Compare Data

These are the official datasets used on the Medicare.gov Home Health Compare Website provided by the Centers for Medicare & Medicaid Services.  These data allow you to compare the quality of care provided by Medicare-certified home health agencies throughout the nation.

Download All Data

Microsoft Access Database 
Updated: Oct 9, 2014
CSV Flat Files – Revised 
Updated: Oct 9, 2014

Supporting Documentation

Dialysis Facility Compare Data

Source: https://data.medicare.gov/data/dialy...cility-compare

My Note: 11 data sets viewed in Socrata with 2 categories

Official Dialysis Facility Compare Data

These are the official datasets used on the Medicare.gov Dialysis Facility Compare Website provided by the Centers for Medicare & Medicaid Services.  These data allow you to compare the quality of care provided in Medicare-certified dialysis facilities nationwide.

Download All Data

Microsoft Access Database 
Updated: Oct 23, 2014
CSV Flat Files – Revised 
Updated: Oct 23, 2014

Supporting Documentation

Announcements

  • Get help using Data.Medicare.gov.
  • In addition to the data on dialysis facility compare, there is also data on anemia management and phosphorus levels in adult dialysis patients in the downloadable databases and in the interactive datasets below.

Supplier Directory Data

Source: https://data.medicare.gov/data/supplier-directory

My Note: 111 data sets viewed in Socrata with 1 category

Official Supplier Directory Data

These are the official datasets used on the Medicare.gov Supplier Directory provided by the Centers for Medicare & Medicaid Services. They provide names, addresses, and contact information for suppliers that provide services or products under the Medicare program.

Download All Data

CSV Flat Files – Revised 
Updated: Dec 19, 2014

Supporting Documentation

  • No supporting documentation available.

Announcements

The Data.Medicare.Gov training video is now available!  The training includes:

  • A message from CMS about Open Data and the Digital Government Strategy
  • Directions on how to access the downloadable data
  • Demonstrations on exploring the data and creating visualizations such as charts, graphs, point maps and heat maps
  • A basic look at APIs

Medicare's Helpful Contacts Data

Source: https://data.medicare.gov/data/supplier-directory

My Note: 3 data sets viewed in Socrata with 1 category

These are the official datasets used on the Medicare.gov Helpful Contacts section provided by the Centers for Medicare & Medicaid Services. They provide contact information for specific organizations that can help with Medicare-related questions.

Download All Data

Microsoft Access Database 
Updated: Nov 19, 2014
CSV Flat Files – Revised 
Updated: Nov 19, 2014

Announcements

The Data.Medicare.Gov training video is now available!  The training includes:

  • A message from CMS about Open Data and the Digital Government Strategy
  • Directions on how to access the downloadable data
  • Demonstrations on exploring the data and creating visualizations such as charts, graphs, point maps and heat maps
  • A basic look at APIs

Medicare Websites and Directories

Hospital Compare

Source: http://www.medicare.gov/hospitalcompare/search.html

My Note: Find a Hospital by Location (ZIP Code or City, County or State) or Name. I did this in Spotfire.

​See: http://www.medicare.gov/hospitalcomp.../Glossary.html

Nursing Home Care

Source: http://www.medicare.gov/nursinghomec...re/search.html

My Note: Find a Nursing Home Facility by Location (ZIP Code or City, County or State) or Name. I can do this in Spotfire.

Physicians Compare

Source: http://www.medicare.gov/physiciancompare/

My Note: Find a Physician by Location (ZIP Code or City, County or State) or Last Name, Speciality, or Medical Condition. I can do this in Spotfire.

I found my son! http://www.medicare.gov/physiciancom...&xpnd=1&vflg=1

Home Health Care Compare

Source: http://www.medicare.gov/homehealthcompare/

My Note: Find a Home Health Care Agency by Location (ZIP Code or City, County or State) or Name. I can do this in Spotfire.

​Dialysis Facility Compare

Source: http://www.medicare.gov/Dialysisfacilitycompare/

My Note: Find a Dialysis Facility by Location (ZIP Code or City, County or State) or Name. I can do this in Spotfire.

Supplier Directory

Source: http://www.medicare.gov/supplierdirectory/

My Note: Find a Supplier by Location (ZIP Code. I can do this in Spotfire.

Medicare Useful Contacts

Source: http://www.medicare.gov/contacts/

My Note: Download 16 datasets at http://www.medicare.gov/Download/DownloadDB.asp

SODA APIs

The Socrata Open Data API (SODA) allows software developers to access data hosted in Socrata sites such as Data.Medicare.gov. In this platform, every dataset is automatically provided with a simple Application Programming Interface, or API (i.e. API endpoint), ensuring access to every dataset.

For more information and examples on how to use the SODA API, visit the Developer Documentation(external link).

API Endpoints

To start accessing a dataset, users need to know its API access endpoint. The API access endpoint for a given dataset can be found by clicking the Export > APIlink located above each interactive dataset.

a screen shot showing the API endpoint URL under Export tab

In general, the endpoint for every dataset is by default hosted under /resource. Datasets are addressable by that dataset’s unique identifier, which users can locate at the end of any dataset URL.

Available Data Formats

The SODA API supports a number of different formats, including JSON, XML, CSV, and RDF. To change the output format of a request, simply change the extension you use on the resource. The JSON format is the most commonly used format for API responses, as it is the most compact and efficient format provided by Socrata.

This site provides direct access to the data used on the Medicare.gov Compare Websites and Directories provided by the Centers for Medicare & Medicaid Services (CMS). Use these links to get help with this site:

Get Started

Source: https://data.medicare.gov/help-contents/get-started

Data.Medicare.gov Getting Started Training

Having trouble viewing the embedded video? Try opening the training video directly on YouTube(external link). My Note: I listened to this

Basic Navigation

  • To access data from one of the Medicare.gov Compare Websites and Directories, click on the relevant icon from the homepage or click on “Datasets” from the top navigation bar.
  • To navigate to the tools themselves, click on the Medicare Websites and Directories link.

Downloading Data

  • On each Medicare.gov Compare Websites and Directories there are links to download the datasets in Microsoft Access and Zipped comma-separated values (CSV) formats (see Downloading Data).
  • In addition, users can click on a list of “official” datasets at the bottom of the page to view and explore data in a browser (see View and Explore Data for more information).
  • Click on the left navigation to filter the list of official datasets by subcategories.

Contact us with questions about the site

Want more help? Check out help videos(external link).

Download and View Data

Source: https://data.medicare.gov/help-contents/download-data

Download Data in Microsoft Access Format

Navigate to the dataset page corresponding to the Medicare.gov Compare Websites and Directories you are interested in. Click on Microsoft Access Database button.

Download Data in a Zipped Archive of CSV Files

Navigate to the dataset page corresponding to the Medicare.gov Compare Websites and Directories you are interested in. Click on CSV Flat Files button.

Download Data in Other Formats

Click on a dataset in the list of datasets appearing at the bottom of the page, click on Export on the top right of the interactive dataset view and choose one of the following file formats:

  • CSV (Comma Separated Values)
  • Microsoft Excel (XLS)
  • Microsoft Excel (XLSX)
  • XML
  • JSON
  • RDF
  • RSS
  • PDF

Downloading CSV Data

Opening CSV files in Excel will remove leading zeros from data fields. Since some data, such as provider numbers, contain leading zeros, it is recommended that you open CSV files using text editor programs such as Notepad to copy or view CSV file content.

Understanding N/A Values on Data.Medicare.gov

Many of the data sets on the interactive part of this site intentionally include “N/A” values. In many cases, "N/A” exists for a numerical-type column. In these cases, “N/A” values will be preserved when viewing the data through the interactive online view. However, users should be aware that these “N/A” values are considered an improper data match for a numerical column and will therefore appear as empty values if they are exported (using the Export button) and viewed in and XLS or CSV format. This site removes “N/A” values in numerical columns upon export to preserve the integrity of the data. This allows users to properly import data for processing once exported from this site.

Although, if users download the full data set within the “Download All Data” section by clicking the  Microsoft Access Database button button or the  CSV Flat Files button button, the scenario previously described will not apply and all “N/A” values will be preserved.

Accessing Supporting Documentation

Navigate to the dataset page corresponding to the Medicare.gov Compare Websites and Directories you are interested in, look for a list of documentation under the “Supporting Documentation” section.

Explore and View Data in a Browser

Clicking on the name of a dataset in the list of datasets at the bottom of the page opens the dataset in an interactive data explorer for viewing data in a browser. Using this, users can reorganize the data using Filters, Groups, and Sorting and display the data in Charts or Maps without downloading the data.

Help Videos(external link)

Source: https://opendata.socrata.com/videos

Welcome to OpenData by Socrata! We're glad that you're excited about open data. To help you get started with our tools, we've created a series of videos designed to teach you the basics about interacting with this data site. If you have any further questions, feel free to visit our support page.

  • Sorting Datasets: 1:43 mins
  • Find in Dataset: 1:00 min
  • Commenting: 0:24 mins
  • Basic Filtering: 3:27 mins
  • Creating a Point Map: 0:59 mins
  • Creating a Bar Chart: 0:59 mins
  • Importing a Dataset: 1:08 mins
  • Publishing a Dataset: 1:42 mins

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This site provides direct access to the data used on the Medicare.gov Compare Websites and Directories provided by the Centers for Medicare & Medicaid Services (CMS). Use these links to get help with this site:

About Data.Medicare.gov

Source: https://data.medicare.gov/about

This site provides direct access to the official data from the Centers for Medicare & Medicaid Services (CMS) that’s used on the Medicare.gov Compare Websites and Directories. The goal of the site is to make these CMS data readily available in open, accessible, and machine-readable formats.

In addition to viewing the data in your browser, you can download the data in a variety of formats. You can also access the data through an Application Programming Interface, or API, which lets developers connect other applications to the data in real time using the same data we use to power the Medicare.gov website.

Works of the U.S. Government are in the public domain and permission is not required to reuse them. An attribution to the agency as the source is appreciated. Your materials, however, should not give the false impression of government endorsement of your commercial products or services. See 42 U.S.C. 1320b-10.

About the Compare Websites and Directories

The datasets on this site are drawn from Medicare.gov’s Compare Websites and Directories, which are briefly described below. Click on the links below to access the websites and tools directly.

Hospital Compare

Helps you find and compare information about the quality of care at over 4,000 Medicare-certified hospitals across the country.

Nursing Home Compare

Allows you to find and compare quality of care information on every Medicare and Medicaid-certified nursing home in the country, including over 15,000 nationwide.

Home Health Compare

Provides information about the quality of care provided by Medicare-certified home health agencies throughout the nation.

Dialysis Facility Compare

You can find and compare the services and the quality of care on Medicare-certified dialysis facilities nationwide.

Supplier Directory

Provides names, addresses, and contact information for suppliers that provide services or products under the Medicare program.

Medicare’s Helpful Contacts

Provides contact information for specific organizations to help you get answers to your Medicare related questions.

Hospital Compare Downloadable Database Data Dictionary

PDF

System Requirements Specification
Centers for Medicare & Medicaid Services
https://data.medicare.gov/data/hospital-compare

Downloadable Database Dictionary December 2014

Table of Contents

Introduction 3
Document Purpose 3
Acronym Index 4
Measure Descriptions and Reporting Cycles 5
Measure Dates and Collection Periods 9
File Summary 10
Downloadable Database Content Summary 12

General Information 12
Survey of Patients’ Experiences  14
Timely and Effective Care  15
Readmissions, Complications, and Deaths  16

Healthcare Associated Infections (HAI) 18

Use of Medical Imaging  20
Payment and Value of Care  21

Medicare Spending per Benificiary (MSPB) 21
Payment for Heart Attack (AMI) Patients 24

Number of Medicare Patients  25
Inpatient Psychiatric Facility Quality Reporting (IPFQR) Program 28
PPS-Exempt Cancer Hospital Quality Reporting (PCHQR) Program  39
Linking Quality to Payment  40

Hospital-Acquired Conditions Reduction Program (HACRP) 40
Hospital Readmission Reduction Program (HRRP)  40
Hospital Value-Based Purchasing (HVBP) Program  41
HVBP Program Data and Scoring  48
HVBP Program Incentive Payment Adjustments 49

Appendix A – Hospital Compare Measures  51
Appendix B – HCAHPS Survey Questions Listing 57
Appendix C – Footnote Crosswalk 58

Introduction

Hospital Compare is a consumer-oriented website that provides information on how well hospitals provide recommended care to their patients. This information can help consumers make informed decisions about healthcare. Hospital Compare allows consumers to select multiple hospitals and directly compare performance measure information related to heart attack, heart failure, pneumonia, surgery and other conditions. Hospital Compare was created as a result of the Hopsital Quality Initiative (HQI) through the efforts of the Centers for Medicare and Medicaid Services (CMS) and CMS currently maintains the Hospital Compare website. More information about Hospital Compare can be found by visiting the CMS.gov website and performing a search for Hospital Compare. To access the Hospital Compare website, please visit http://www.medicare.gov/hospitalcompare.

Hospital Compare is typically updated, or refreshed, each quarter in April, July, October, and December, however, the refresh schedule is subject to change and not all measures will update during each quarterly release. See the Measure Descriptions and Reporting Cycles section of this Data Dictionary for additional information. Hospital Compare data are reported in median time only, however, the median time is often referred to as the “average time” to allow for ease of understanding across a wider audience.

Links to download the data from the Downloadable Databases in Microsoft Access and zipped Comma-Separated Value (CSV) Flat File formats can be found toward the top of the Official Hospital Compare Data website. A catalogue of datasets is also available toward the bottom of the website where files can be viewed and exported within a web browser. Datasets can be exported in a variety of formats and a Data.Medicare.gov: Getting Started Training video tutorial is available to assist with exporting the data.

Embedded datasets for certain measures can also be found within the Hospital Compare website. Archived data from 2005 - 2014 can be found in the Official Hospital Compare Data Archive.

All Hospital Compare websites are publically accessible. As works of the U.S. government, Hospital Compare data are in the public domain and permission is not required to reuse them. An attribution to the agency as the source is appreciated. Your materials, however, should not give the false impression of government endorsement of your commercial products or services.

Document Purpose

The purpose of this document is to provide a directory of material for use in the navigation of information contained within the Hospital Compare Downloadable Databases. Appendix A of this Data Dictionary provides a full list of Hospital Compare measures contained in the Downloadable Databases and the Measure Dates and Collection Periods section of this Data Dictionary provides additional information about measure dates and quarters. This information can also be found on the Hospital Compare website under the Measures Displayed on Hospital Compare and is organized as follows:

  • General Information (Structural and HIT)
  • Survey of Patients’ Experiences (HCAHPS)
  • Timely and Effective Care (Process of Care)
  • Readmissions, Complications, and Deaths (30-day Mortality and Readmission, PSI, HAI)
  • Use of Medical Imaging (OIE)
  • Payment and Value of Care (MSPB/SPP and AMI)
  • Number of Medicare Patients (MV)

The Spotlight section of Hospital Compare includes the following information:

  • Inpatient Psychiatric Facility Quality Reporting (IPFQR) Program
  • PPS-Exempt Cancer Hospital Quality Reporting (PCHQR) Program

The Additional Information section of Hospital Compare includes the following information:

  • Linking Quality to Payment
    • Hospital-Acquired Conditions Reduction Program (HACRP)
    • Hospital Readmissions Reduction Program (HRRP)
    • Hospital Value-Based Purchasing (HVBP) Program
      • HVBP Program Data and Scoring (Efficiency)
      • HVBP Program Incentive Payment Adjustments

Acronym Index

The following acronyms are used within this Data Dictionary and in the corresponding Downloadable Databases (Access and CSV
Flat Files – Revised):

See Spreadsheet

 

Acronym Meaning
AMI Acute Myocardial Infarction
AVG Average
CAC Children’s Asthma Care
COMP-HIP-KNEE Total Hip/Knee Arthoroplasty 30-Day Complication Rate
ED Emergency Department
FTNT Footnote
HACRP Hospital-Acquired Conditions Reduction Program
HAI Healthcare Associated Infections
HBIPS Hospital-Based Inpatient Psychiatric Services
HCAHPS Hospital Consumer Assessment of Healthcare Providers and Systems
HF Heart Failure
HIT Health Information Technology
HRRP Hospital Readmissions Reduction Program
HVBP Hospital Value-Based Purchasing
IMG Imaging
IMM Immunization
IPFQR Inpatient Psychiatric Facility Quality Reporting
IQR Inpatient Quality Reporting
MORT Mortality
MSPB Medicare Spending per Beneficiary (also referred to as SPP for Spending Per Patient)
MSR Measure
MPV Medicare Payments and Volume
MV Medicare Volume
NQF National Quality Forum
OIE Outpatient Imaging Efficiency
OP Outpatient
OQR Outpatient Quality Reporting
PCHQR PPS-Exempt Cancer Hospital Quality Reporting
PN Pneumonia
PSI Patient Safety Indicators
READM Readmissions
SCIP Surgical Care Improvement Project
SM Structural Measures
SPP Spending Per Patient (also referred to as MSPB for Medicare Spending per Beneficiary)
STK Stroke
TPS Total Performance Score
VTE

Venous Thromboembolism

​Measure Descriptions and Reporting Cycles

Data is collected in differing timeframes from various quality measurement contractors. Additional information about the data
collection periods can be found in the Current Data Collection Periods section of the Hospital Compare website and the update
frequency/refresh schedule can be found in the Measures Displayed on Hospital Compare. Below is a brief description of the
collection process and reporting cycles for each measure set included on Hospital Compare:

See Spreadsheet

 

Name Description/Background Reporting Cycle
General Information: Structural Measures As part of the General Information available through CMS, Structural measures reflect the environment in which providers care for patients. Examples of Structural measures can be inpatient (participation in general surgery registry) or outpatient (tracking clinical results between visits). Hospitals submit Structural measure data using an online data entry tool made available to hospitals and their vendors. Structural measures include information provided by the American College of Surgeons (ACS), the Society of Thoracic Surgeons (STS), the Joint Commission (TJC), and CMS. Collection period: 12 months. Refreshed annually, except the ACS Registry which is refreshed semi-anually.
General Information: Health Information Technology (HIT) Measures As part of the General Information available through CMS, hospitals submit HIT measure data which is part of the Electronic Health Record (EHR) Incentive Program. Collection period: 12 months. Refreshed annually.
Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) Patient Survey The HCAHPS Patient Survey, also known as the CAHPS® Hospital Survey or Hospital CAHPS, is a survey instrument and data collection methodology for measuring patients’ perceptions of their hospital experience. The survey is administered to a random sample of adult inpatients after discharge. The HCAHPS survey contains patient perspectives on care and patient rating items that encompass key topics: communication with hospital staff, responsiveness of hospital staff, pain management, communication about medicines, discharge information, cleanliness of hospital environment, quietness of hospital environment, and transition of care. The survey also includes screening questions and demographic items, which are used for adjusting the mix of patients across hospitals and for analytic purposes. See Appendix B for a full list of current HCAHPS Survey items included in the Hospital Compare Downloadable Databases, including the new Care Transitions composite measure. More information about the HCAHPS Survey, including a complete list of survey questions, can be found on the official HCAHPS website. Collection period: 12 months. Refreshed quarterly.
Timely and Effective Care (Process of Care) The measures of Timely and Effective Care report the percentage of hospital patients who receive the treatments that are known to get the best results for certain common, serious medical conditions or surgical procedures, and how quickly hospitals treat patients who come to the hospital with certain medical emergencies. These measures only apply to patients for whom the recommended treatment would be appropriate. The measures of Timely and Effective Care apply to adults and children treated at hospitals paid under the Inpatient Prospective Payment System (IPPS) or the Outpatient Prospective Payment System (OPPS), as well as those that voluntarily report data on measures for whom the recommended treatments would be appropriate including: Medicare patients, Medicare managed care patients, and non-Medicare patients. Timely and Effective care measures are also referred to as Process of Care measures and include Acute Myocardial Infarction (AMI), Heart Failure (HF), Pneumonia (PN), Surgical Care Improvement Project (SCIP), Emergency Department (ED), Preventive Care, Children’s Asthma Care (CAC), Stroke Care, Blood Clot Prevention and Treatment, and Pregnancy and Delivery Care measures. Collection period: Approximately 12 months. Refreshed quarterly, except OP-22 which is refreshed anually.
Readmissions, Complications, and Deaths: 30-day Mortality and Readmission Measures The risk-standardized AMI, HF, and PN 30-Day Mortality and Readmission measures were developed by a team of clinical and statistical experts from Yale and Harvard universities, using a methodology that has been published in peer reviewed literature. The 30-Day Mortality and Readmission measures for AMI, PN, and HF are produced from Medicare claims and enrollment data. The measures comply with standards for publicly reported outcomes models set forth by the American Heart Association and the American College of Cardiology. CMS calculates hospital-specific 30-day mortality and readmission rates using Medicare claims and eligibility information as well as VA administrative information. Using administrative data makes it possible to calculate mortality and readmission rates without performing medical chart reviews or requiring hospitals to report additional information to CMS. To make comparisons between hospitals fair, calculation of the 30-Day Mortality and Readmission measures adjust for patient characteristics that may make death or readmission more likely, even if the hospital provided quality care—including the patient’s age, gender, past medical history, and other diseases or conditions (comorbidities) the patient had at hospital arrival that are known to increase the patient’s risk of dying or readmission. Rates are provided in the downloadable databases as decimals and typically indicate information that is presented on the Hospital Compare website as percentages, with lower percentages for Readmission data being better Collection period: 36 months. Refreshed annually.
Readmissions, Complications, and Deaths: AHRQ Patient Safety Indicators (PSI) The Agency for Healthcare Research and Quality (AHRQ) PSI measures reflect quality of care for hospitalized adults and focus on potentially avoidable complications and iatrogenic events. CMS currently publicly reports six PSI measures, including the composite measure PSI-90. PSI-90 includes 11 NQF-endorsed measures including PSI-3 (pressure ulcer rate), PSI-6 (iatrogenic pneumothorax rate), PSI-7 (central venous catheterrelated blood stream infection rate), PSI-8 (postoperative hip fracture rate), PSI-9 (postoperative hemorrhage or hematoma rate), PSI-10 (postoperative physiologic and metabolic derangement rate), PSI-11 (postoperative respiratory failure rate), PSI-12 (postoperative pulmonary embolism or deep vein thrombosis rate), PSI-13 (postoperative sepsis rate), PSI-14 (postoperative wound dehiscence rate), and PSI-15 (accidental puncture or laceration rate). Collection period: 24 months. Refreshed annually.
Readmissions, Complications, and Deaths: Healthcare-Associated Infections (HAI) HAIs are among the leading causes of death in the United States. HAIs put the patient at risk for serious injury, morbidity, mortality, increase the days of hospitalization required for patients, and add to healthcare costs. HAIs are largely preventable using widely publicized guidelines and interventions, such as better hygiene and advanced scientifically tested techniques. HAI measure data are collected by the Centers for Disease Control and Prevention (CDC) via the National Healthcare Safety Network (NHSN) tool. Hospitals must enroll and complete NHSN training to comply with CMS’ Inpatient Quality Reporting (IQR) Program HAI requirements. Collection period: Approximately 12 months. Refreshed quarterly, based on a rolling four quarters.
Use of Medical Imaging: Outpatient Imaging Efficiency (OIE) CMS has adopted six measures which capture the quality of outpatient care in the area of imaging. CMS notes that the purpose of these measures is to promote high-quality efficient care. Each of the measures currently utilize both the Hospital OPPS claims and Physician Part B claims in the calculations. These calculations are based on the administrative claims of the Medicare fee-for-service population and no additional data submission is required by hospitals. Collection period: 12 months. Refreshed annually.
Payment and Value of Care The payment and volume information reflects inpatient hospital services provided by hospitals to Medicare beneficiaries. CMS has posted this information for the public to view the cost to the Medicare program of treating beneficiaries with certain illnesses in their community and the number of Medicare patients treated. Medicare payment is also known as Medicare Spending per Beneficiary (MSPB) or Medicare hospital spending per patient (SPP). The Acute Myocardial Infarction (AMI) Payment Measure is a new claims-based payment measure added to the Hospital Inpatient Quality Reporting (IQR) Program in December 2014. The payment for Heart Attack patients measure summarizes payments made by Medicare patients, or on behalf of Medicare patients, for healthcare services starting on the first day of hospitalization for heart attack through the next 30 days. The AMI payment measure results are intended to reflect differences in payment for AMI pateints over a 30-day period that are influenced by hospital care decisions. CMS aligned the 30-day payment and mortality measures, making it possible to use these measures together to assess the value of care provided to heart attack patients. The AMI payment measure results are more meaningful when presented in the context of another outcome measure (MSPB-1) that is aligned with the AMI payment measure in order to facilitate profiling hospital value (payments and quality). Collection Period: 36 months. Refreshed annually.
Number of Medicare Patients (MV) Medicare volume information can provide users with a general overview of hospitals' experience with Medicare Severity Diagnosis Related Groups (MS-DRGs). MS-DRGs are payment groups of patients who have similar clinical characteristics and similar costs. The median payment refers to the midpoint of all payments to the hospital for a particular MS-DRG, that is, half the payments were lower and half the payments were higher than the median payment. Collection period: 12 months. Refreshed annually.
Inpatient Psychiatric Facility Quality Reporting (IPFQR) Program The IPFQR program is a pay-for-reporting program intended to provide consumers with quality of care information to make more informed decisions about health care options. To meet the IPFQR program requirements, Inpatient Psychiatric Facilities (IPFs) are required to submit all quality measures to CMS. The IPFQR program measures allow consumers to find and compare the quality of care given at psychiatric facilities where patients are admitted as inpatients. Inpatient psychiatric facilities are required to report data on these measures. Facilities that are eligible for this program may have their Medicare payments reduced if they do not report. Collection period: 6 months. Refreshed annually.
PPS-Exempt Cancer Hospital Quality Reporting (PCHQR) Program The PPS-Exempt Cancer Hospital Quality Reporting Program measures allow consumers to find and compare the quality of care given at the eleven PPS-exempt cancer hospital participating in the program. Under the PCHQR program, cancer hospitals submit data to CMS regarding the Adjuvant Chemotherapy Colon Cancer (PCH-1) and, Combination Chemotherapy Breast Cancer (PCH-2) measures. Collection period: Less than 12 months. Refreshed quarterly.
Linking Quality to Payment: Hospital-Acquired Conditions Reduction Program (HACRP) The Hospital-Acquired Condition (HAC) Reduction Program was established in 2010 to provide an incentive for hospitals to reduce HACs. CMS adopted the AHRQ PSI 90 composite measure, the CDC NHSN Central Line- Associated Blood Stream Infection (CLABSI) measure, and the CDC NHSN Catheter-Associated Urinary Tract Infection (CAUTI) measure as part of HACRP. The overall score for serious complication is based on how adult patients had certain serious, but potentially preventable, complications related to medical or surgical inpatient hospital care. Collection Period: 12 months. Refreshed quarterly. PSI-90: 24 months. Refreshed Annually.
Linking Quality to Payment: Hospital Readmissions Reduction Program (HRRP) In October 2012, CMS began reducing Medicare payments for IPPS hospitals with excess readmissions. Excess readmissions are measured using a ratio, by dividing a hospital’s number of “predicted” 30-day readmissions for AMI, HF, and PN by the number that would be “expected,” based on an average hospital with similar patients. A ratio greater than one indicates excess readmissions. The calculations include only acute care hospitals paid under IPPS and Maryland hospitals. Collection period: 36 months. Refreshed annually
Linking Quality to Payment: Hospital Value-Based Purchasing (HVBP) Program The HVBP program is part of CMS’ long-standing effort to link Medicare’s payment system to quality. The program implements value-based purchasing to the payment system that accounts for the largest share of Medicare spending, affecting payment for inpatient stays in over 3,500 hospitals across the country. Hospitals are paid for inpatient acute care services based on the quality of care, not just quantity of the services they provide. For the first FY of the HVBP Program, two domains will be used to assess hospital performance: 1) Patient Experience of Care and 2) Clinical Process of Care. The Patient Experience of Care domain is comprised of the HCAHPS Survey measures. The Clinical Process of Care domain is comprised of selected IQR Program’s Process of Care measures from the AMI, HAI, HF, PN, and Surgical Care Improvement Project (SCIP) measure sets. A performance score and an improvement score are calculated for each measure, a domain score is then calculated for each of the two domains. The Total Performance Score (TPS) is calculated using the weighted domain scores. For FY 2013 the Clinical Process of Care domain score is weighted as 70 percent of the TPS, and the Patient Experience of Care domain is weighted as 30 percent of the TPS. Collection period: Approximately 12 months. Refreshed annually
Linking Quality to Payment: HVBP Payment Adjustments The Inpatient Hospital Value-Based Purchasing (HVBP) Program adjusts Medicare’s payments to reward hospitals based on the quality of care that they provide to patients. The program operates by 1) reducing participating hospitals’ Medicare payments by a specified percentage, then 2) using the estimated total amount of those payment reductions to fund value-based incentive payments to hospitals based on their performance under the program. Collection period: Approximately 12 months. Refreshed annually.

Measure Dates and Collection Periods

The Downloadable Databases are refreshed within 24 hours of the Hospital Compare data update and this update will be indicated in the Additional Information section of the Hospital Compare home page. The Measure Dates file located within the Downloadable Databases contains a comprehensive listing of all measures displayed on Hospital Compare, their start quarters and dates, and their end quarters and dates. A sample of the collection periods from the December 2014 Measure Dates file is shown below:

HospitalCompareDataCollectionPeriod2014.png

File Summary

The table below shows the titles of all MS Access tables and CSV Revised file names included in the Downloadable Database. A
Hospital.pdf (Data Dictionary) file and corresponding readme.txt file are included in both Downloadable Databases formats.

See Spreadsheet

 

MS Access Downloadable Database: Hospital.zip

CSV Revised Downloadable Database:  Hospital_revised_flatfiles.zip

MS Access tables CSV Revised (.csv) file names
Measure_Dates Measure Dates
HQI_FTNT Footnote Crosswalk
HQI_HOSP Hospital General Information
HQI_HOSP_STRUCTURAL Structural Measures – Hospital
HQI_HOSP_HCAHPS HCAHPS – Hospital
HQI_NATIONAL_HCAHPS HCAHPS – National
HQI_STATE_HCAHPS HCAHPS – State
HQI_HOSP_TimelyEffectiveCare Timely and Effective Care – Hospital
HQI_NATIONAL_TimelyEffectiveCare Timely and Effective Care – National
HQI_STATE_TimelyEffectiveCare Timely and Effective Care – State
HQI_HOSP_ReadmCompDeath Readmissions Complications and Deaths – Hospital
HQI_NATIONAL_ReadmCompDeath Readmissions Complications and Deaths – National
HQI_STATE_ReadmCompDeath Readmissions Complications and Deaths – State
HQI_HOSP_HAI Healthcare Associated Infections – Hospital
HQI_NATIONAL_HAI Healthcare Associated Infections – National
HQI_STATE_HAI Healthcare Associated Infections – State
HQI_HOSP_AMI_Payment Heart Attack Payment - Hospital
HQI_HOSP_AMI_Payment Heart Attack Payment - National
HQI_STATE_AMI_Payment Heart Attack Payment - State
HQI_HOSP_IMG Outpatient Imaging Efficiency – Hospital
HQI_NATIONAL_IMG_AVG Outpatient Imaging Efficiency – National
HQI_STATE_IMG_AVG Outpatient Imaging Efficiency – State
HQI_HOSP_MSPB Medicare Hospital Spending per Patient – Hospital
HQI_NATIONAL_MSPB Medicare Hospital Spending per Patient – National
HQI_STATE_MSPB Medicare Hospital Spending per Patient – State
Medicare Hospital Spending by Claim Medicare Hospital Spending by Claim
HQI_HOSP_MV Medicare Volume – Hospital
HQI_NATIONAL_MV Medicare Volume – National
HQI_STATE_MV Medicare Volume – State
HQI_OP_Procedure_Volume Outpatient Procedures – Volume
IPFQR_HOSPITAL HOSPITAL_QUARTERLY_QUALITYMEASURE_IPFQR_HOSPITAL
IPFQR_NATIONAL HOSPITAL_QUARTERLY_QUALITYMEASURE_IPFQR_NATIONAL
IPFQR_STATE HOSPITAL_QUARTERLY_QUALITYMEASURE_IPFQR_STATE
PCH_CancerSpecificMeasures_Hospital HOSPITAL_QUARTERLY_QUALITYMEASURE_PCH_HOSPITAL
HOSPITAL_QUARTERLY_HAC_DOMAIN_HOSPITAL_10_29_2014 HOSPITAL_QUARTERLY_HAC_DOMAIN_HOSPITAL_10_29_2014
vwHQI_READM_REDUCTION READMISSION REDUCTION
Hvbp_ami_10_28_2014 hvbp_ami_10_28_2014
Hvbp_hai_10_28_2014 hvbp_hai_10_28_2014
Hvbp_hcahps_10_28_2014 hvbp_hcahps_10_28_2014
Hvbp_hf_10_28_2014 hvbp_hf_02_25_2014
Hvbp_outcome_10_28_2014 hvbp_outcome_10_28_2014
Hvbp_pn_10_28_2014 hvbp_pn_10_28_2014
Hvbp_quarters hvbp_quarters
Hvbp_scip_10_28_2014 hvbp_scip_10_28_2014
Hvbp_TPS_10_28_2014 hvbp_TPS_10_28_2014
Hvbp_efficiency_10_28_2014 Hvbp_efficiency_10_28_2014
FY2013_Distribution_of_Net_Change_in_Base_Op_DRG_Payment_Amt FY2013_Distribution_of_Net_Change_in_Base_Op_DRG_Payment_Amt
FY2013_Value_Based_Incentive_Payment_Amount FY2013_Value_Based_Incentive_Payment_Amount
FY2013_Net_Change_in_Base_Op_DRG_Payment_Amt FY2013_Net_Change_in_Base_Op_DRG_Payment_Amt
FY2013_Percent_Change_in_Base_Operating_DRG_Payment_Amounts

 FY2013_Percent_Change_in_Medicare_Payments

Downloadable Database Content Summary

Access Note: Fields having the data type of “memo” do not require a length. They allow the user to input large amounts of text without limit. Fields having the data type of “Text” require the corresponding length provided.

CSV Flat Files Note: Opening CSV files in Excel will remove leading zeros from data fields. Since some data, such as provider numbers, contain leading zeros, it is recommended that you open CSV files using text editor programs such as Notepad to copy or view CSV file content. Fields having the data type of “memo” do not require a length. They allow the user to input large amounts of text without limit. Fields having the data type of “Text” require the corresponding length provided. The CSV column names and file names should mirror the datasets found on Data.Medicare.gov.

See Spreadsheet

General Information

Measure Dates
Footnote Crosswalk
Hospital General Information
Structural Measures (Hospital)

Survey of Patients’ Experiences

HCAHPS (Hospital)
HCAHPS (National)
HCAHPS (State)

Timely and Effective Care

Timely and Effective Care (Hospital)
Timely and Effective Care (National)
Timely and Effective Care (State)

Readmissions, Complications, and Deaths

Readmissions, Complications, and Deaths (Hospital)
Readmissions, Complications, and Deaths (National)
Readmissions, Complications, and Deaths (State)
Healthcare Associated Infections (HAI)
Healthcare Associated Infections (Hospital)
Healthcare Associated Infections (National)
Healthcare Associated Infections (State)

Use of Medical Imaging

Outpatient Imaging Efficiency (Hospital)
Outpatient Imaging Efficiency (National)
Outpatient Imaging Efficiency (State)

Payment and Value of Care

Medicare Spending per Benificiary (MSPB)
MSPB (Hospital)
MSPB (National)
MSPB (State)
MSPB Spending by Claim
Payment for Heart Attack (AMI) Patients
AMI Payment (Hospital)
AMI Payment (National)
AMI Payment (State)

Number of Medicare Patients

Medicare Volume (Hospital)
Medicare Volume (National)
Medicare Volume (State)
Outpatient Volume

Inpatient Psychiatric Facility Quality Reporting (IPFQR) Program

IPFQR (Hospital)
IPFQR (National)
IPFQR (State)

PPS-Exempt Cancer Hospital Quality Reporting (PCHQR) Program

IPFQR (State)

Linking Quality to Payment

Hospital‐Acquired Conditions Reduction Program (HACRP)
HACRP
Hospital Readmission Reduction Program (HRRP)
​HRRP​
Hospital Value‐Based Purchasing (HVBP) Program
HVBP - AMI
HVBP - HAI
HVBP - HCAHPS
HVBP - HF
HVBP - OUTCOME
HVBP - PN
HVBP - QUARTERS
HVBP - SCIP
HVBP - TPS
HVBP Program Data and Scoring
HVBP - EFFICIENCY
HVBP Program Incentive Payment Adjustments
HVBP FY 2013 Distribution of Net Change
HVBP FY 2013 Incentive Payment
HVBP FY 2013 Net Change
HVBP FY 2013 Percent Change

Appendix A – Hospital Compare Measures

The following crosswalk contains a listing of all measures located at the hospital-level files of the Downloadable Databases (Access and CSV Flat Files – Revised). The tables below display the locations of each measure within the corressponding Access tables and CSV files, including an HVBP file directory:

See Spreadsheet

Structural Measures – Hospital.csv

Measure ID Measure Name
SM_PART_CARD Cardiac Surgery Registry (alternate Measure ID: SM-1)
SM_PART_STROKE Stroke Care Registry (alternate Measure ID: SM-2)
SM_PART_NURSE Nursing Care Registry (alternate Measure ID: SM-3)
SM_PART_GEN_SURG General Surgery Registry (alternate Measure ID: SM-4)
ACS_REGISTRY Multispecialty Surgical Registry
OP-12 Able to receive lab results electronically (HIT measure)
OP-17 Able to track patients’ lab results, tests, and referrals electronically between visits (HIT measure)
OP-25 Uses a Safe Surgery Checklist

HCAHPS –Hospital.csv

Measure ID Measure Name
H-CLEAN-HSP-A-P Patients who reported that their room and bathroom were "Always" clean
H-CLEAN-HSP-SN-P Patients who reported that their room and bathroom were "Sometimes" or "Never" clean
H-CLEAN-HSP-U-P Patients who reported that their room and bathroom were "Usually" clean
H-COMP-1-A-P Patients who reported that their nurses "Always" communicated well
H-COMP-1-SN-P Patients who reported that their nurses "Sometimes" or "Never" communicated well
H-COMP-1-U-P Patients who reported that their nurses "Usually" communicated well
H-COMP-2-A-P Patients who reported that their doctors "Always" communicated well
H-COMP-2-SN-P Patients who reported that their doctors "Sometimes" or "Never" communicated well
H-COMP-2-U-P Patients who reported that their doctors "Usually" communicated well
H-COMP-3-A-P Patients who reported that they "Always" received help as soon as they wanted
H-COMP-3-SN-P Patients who reported that they "Sometimes" or "Never" received help as soon as they wanted
H-COMP-3-U-P Patients who reported that they "Usually" received help as soon as they wanted
H-COMP-4-A-P Patients who reported that their pain was "Always" well controlled
H-COMP-4-SN-P Patients who reported that their pain was "Sometimes" or "Never" well controlled
H-COMP-4-U-P Patients who reported that their pain was "Usually" well controlled
H-COMP-5-A-P Patients who reported that staff "Always" explained about medicines before giving it to them
H-COMP-5-SN-P Patients who reported that staff "Sometimes" or "Never" explained about medicines before giving it to them
H-COMP-5-U-P Patients who reported that staff "Usually" explained about medicines before giving it to them
H-COMP-6-N-P Patients who reported that NO, they were not given information about what to do during their recovery at home
H-COMP-6-Y-P Patients who reported that YES, they were given information about what to do during their recovery at home
H-COMP-7-A Patients who “Agree” they understood their care when they left the hospital
H-COMP-7-D-SD Patients who “Disagree” or “Strongly Disagree” that they understood their care when they left the hospital
H-COMP-7-SA Patients who “Strongly Agree” that they understood their care when they left the hospital
H-HSP-RATING-0-6 Patients who gave their hospital a rating of 6 or lower on a scale from 0 (lowest) to 10 (highest)
H-HSP-RATING-7-8 Patients who gave their hospital a rating of 7 or 8 on a scale from 0 (lowest) to 10 (highest)
H-HSP-RATING-9-10 Patients who gave their hospital a rating of 9 or 10 on a scale from 0 (lowest) to 10 (highest)
H-QUIET-HSP-A-P Patients who reported that the area around their room was "Always" quiet at night
H-QUIET-HSP-SN-P Patients who reported that the area around their room was "Sometimes" or "Never" quiet at night
H-QUIET-HSP-U-P Patients who reported that the area around their room was "Usually" quiet at night
H-RECMND-DN Patients who reported NO, they would probably not or definitely not recommend the hospital
H-RECMND-DY Patients who reported YES, they would definitely recommend the hospital
H-RECMND-PY Patients who reported YES, they would probably recommend the hospital

Timely and Effective Care – Hospital.csv

Measure ID Measure Name
AMI-2 Heart attack patients given aspirin at discharge
AMI-7a Fibrinolytic Therapy Received Within 30 Minutes Of Hospital Arrival *This measure is displayed on Hospital Compare as “Heart attack patients given drugs to break up blood clots within 30 minutes of arrival”
AMI-8a Heart attack patients given PCI within 90 minutes of arrival
AMI-10 Heart attack patients given a prescription for a statin at discharge
CAC-1 Children who received reliever medication while hospitalized for asthma
CAC-2 Children who received systemic corticosteroid medication (oral and IV medication that reduces inflammation and controls symptoms) while hospitalized for asthma
CAC-3 Children and their caregivers who received a home management plan of care document while hospitalized for asthma
ED-1b Average time patients spent in the emergency department, before they were admitted to the hospital as an inpatient (alternate Measure ID: ED-1)
ED-2b Average time patients spent in the emergency department, after the doctor decided to admit them as an inpatient before leaving the emergency department for their inpatient room (alternate Measure ID: ED-2)
EDV Emergency Department Volume
HF-1 Heart failure patients given discharge instructions
HF-2 Heart failure patients given an evaluation of Left Ventricular Systolic (LVS) function
HF-3 Heart failure patients given ACE inhibitor or ARB for left ventricular systolic dysfunction (LVSD)
IMM-2 Patients assessed and given influenza vaccination
IMM-3 Healthcare workers given influenza vaccination (alternate Measure ID: IMM-3-FAC-ADHPCT)
OP-1 Median time to fibrinolysis. *This measure is only found in the downloadable database, it is not displayed on Hospital Compare
OP-2 Outpatients with chest pain or possible heart attack who got drugs to break up blood clots within 30 minutes of arrival
OP-3b Average number of minutes before outpatients with chest pain or possible heart attack who needed specialized care were transferred to another hospital
OP-4 Outpatients with chest pain or possible heart attack who got aspirin within 24 hours of arrival
OP-5 Average number of minutes before outpatients with chest pain or possible heart attack got an ECG
OP-6 Outpatients having surgery who got an antibiotic at the right time - within one hour before surgery
OP-7 Outpatients having surgery who got the right kind of antibiotic
OP-18b Average time patients spent in the emergency department before being sent home (alternate Measure ID: OP-18)
OP-20 Average time patients spent in the emergency department before they were seen by a healthcare professional
OP-21 Average time patients who came to the emergency department with broken bones had to wait before receiving pain medication.
OP-22 Percentage of patients who left the emergency department before being seen
OP-23 Percentage of patients who came to the emergency department with stroke symptoms who received brain scan results within 45 minutes of arrival
PC-01 Percent of newborns whose deliveries were scheduled too early (1-3 weeks early), when a scheduled delivery was not medically necessary
PN-6 Pneumonia patients given the most appropriate initial antibiotic(s)
SCIP-CARD-2 Surgery patients who were taking heart drugs called beta blockers before coming to the hospital, who were kept on the beta blockers during the period just before and after their surgery
SCIP-Inf-1 Surgery patients who were given an antibiotic at the right time (within one hour before surgery) to help prevent infection
SCIP-Inf-2 Surgery patients who were given the right kind of antibiotic to help prevent infection
SCIP-Inf-3 Surgery patients whose preventive antibiotics were stopped at the right time (within 24 hours after surgery)
SCIP-Inf-4 Heart surgery patients whose blood sugar (blood glucose) is kept under good control 18-24 hours after surgery
SCIP-Inf-9 Surgery patients whose urinary catheters were removed on the first or second day after surgery
SCIP-Inf-10 Patients having surgery who were actively warmed in the operating room or whose body temperature was near normal by the end of surgery
SCIP-VTE-2 Patients who got treatment at the right time (within 24 hours before or after their surgery) to help prevent blood clots after certain types of surgery
STK-1 Ischemic or hemorrhagic stroke patients who received treatment to keep blood clots from forming anywhere in the body within 2 days of arriving at the hospital
STK-2 Ischemic stroke patients who received a prescription for medicine known to prevent complications caused by blood clots before discharge
STK-3 Ischemic stroke patients with a type of irregular heartbeat who were given a prescription for a blood thinner at discharge
STK-4 Ischemic stroke patients who got medicine to break up a blood clot within 3 hours after symptoms started
STK-5 Ischemic stroke patients who received medicine known to prevent complications caused by blood clots within 2 days of arriving at the hospital
STK-6 Ischemic stroke patients needing medicine to lower cholesterol, who were given a prescription for this medicine before discharge
STK-8 Ischemic or hemorrhagic stroke patients or caregivers who received written educational materials about stroke care and prevention during the hospital stay
STK-10 Ischemic or hemorrhagic stroke patients who were evaluated for rehabilitation services
VTE-1 Patients who got treatment to prevent blood clots on the day of or day after hospital admission or surgery
VTE-2 Patients who got treatment to prevent blood clots on the day of or day after being admitted to the intensive care unit (ICU)
VTE-3 Patients with blood clots who got the recommended treatment, which includes using two different blood thinner medicines at the same time
VTE-4 Patients with blood clots who were treated with an intravenous blood thinner, and then were checked to determine if the blood thinner was putting the patient at an increased risk of bleeding
VTE-5 Patients with blood clots who were discharged on a blood thinner medicine and received written instructions about that medicine
VTE-6 Patients who developed a blood clot while in the hospital who did not get treatment that could have prevented it

Readmissions Complications and Deaths – Hospital.csv

Measure ID Measure Name
COMP-HIP-KNEE Rate of complications for hip/knee replacement patients
HAI-1 Central Line-Associated Bloodstream Infection (CLABSI)
HAI-2 Catheter-Associated Urinary Tract Infections (CAUTI)
HAI-3 Surgical Site Infection from colon surgery (SSI: Colon)
HAI-4 Surgical Site Infection from abdominal hysterectomy (SSI: Hysterectomy)
HAI-5 Methicillin-resistant staphylococcus aureus (or MRSA) blood laboratory-identified events (bloodstream infections)
HAI-6 Clostridium difficile (C.diff.) laboratory identified events (intestinal infections)
MORT-30-AMI Death rate for heart attack patients
MORT-30-COPD Death rate for chronic obstructive pulmonary disease (COPD) patients
MORT-30-HF Death rate for heart failure patients
MORT-30-PN Death rate for pneumonia patients
MORT-30-STK Death rate for stroke patients
PSI-4 Deaths among patients with serious treatable complications after surgery (alternate Measure ID: PSI-4-SURG-COMP)
PSI-6 Collapsed lung due to medical treatment (alternate Measure ID: PSI-6-IAT-PTX)
PSI-12 Serious blood clots after surgery (alternate Measure ID: PSI-12-POSTOP-PULMEMB-DVT)
PSI-14 A wound that splits open after surgery on the abdomen or pelvis (alternate Measure ID: PSI-14-POSTOPDEHIS)
PSI-15 Accidental cuts and tears from medical treatment (alternate Measure ID: PSI-15-ACC-LAC)
PSI-90 Serious complications (this is a composite or summary measure; alternate Measure ID: PSI-90-SAFETY)
READM-30-AMI Rate of unplanned readmission for heart attack patients
READM-30-COPD Rate of unplanned readmission for chronic obstructive pulmonary disease (COPD) patients
READM-30-HF Rate of unplanned readmission for heart failure patients
READM-30-PN Rate of unplanned readmission for pneumonia patients
READM-30-HIPKNEE Rate of unplanned readmission after hip/knee surgery
READM-30-HOSPWIDE Rate of readmission after discharge from hospital (hospital-wide)
READM-30-STK Rate of unplanned readmission for stroke patients

Outpatient Imaging Efficiency – Hospital.csv

Measure ID Measure Name
OP-8 Outpatients with low back pain who had an MRI without trying recommended treatments first, such as physical therapy (If a number is high, it may mean the facility is doing too many unnecessary MRIs for low back pain)
OP-9 Outpatients who had a follow-up mammogram, ultrasound, or MRI of the breast within 45 days after a screening mammogram (A follow-up rate near zero may indicate missed cancer; a rate higher than 14% may mean there is unnecessary follow up)
OP-10 Outpatient CT scans of the abdomen that were “combination” (double) scans (If a number is high, it may mean that too many patients are being given a double scan when a single scan is all they need)
OP-11 Outpatient CT scans of the chest that were “combination” (double) scans (If a number is high, it may mean that too many patients are being given a double scan when a single scan is all they need)
OP-13 Outpatients who got cardiac imaging stress tests before low-risk outpatient surgery (If a number is high, it may mean that too many cardiac scans were done prior to low-risk surgeries)
OP-14 Outpatients with brain CT scans who got a sinus CT scan at the same time (If a number is high, it may mean that too many patients are being given both a brain scan and sinus scan, when a single scan is all they need)

Medicare Hospital Spending per Patient – Hospital.csv

Measure ID Measure Name
MSPB-1 Spending per Hospital Patient with Medicare (Medicare Spending per Beneficiary)

Medicare Volume – Hospital.csv

Measure ID Measure Name
MV Number of Medicare patients treated for selected procedures *This measure is only found in the downloadable database, it is not displayed on Hospital Compare

Outpatient Procedures –Volume.csv

Measure ID Measure Name
OP-26 Hospital Outpatient Volume Data on Selected Outpatient Surgical Procedures *This measure is only found in the downloadable database, it is not displayed on Hospital Compare

HOSPITAL_QUARTERLY_QUALITYMEASURE_IPFQR_HOSPITAL

​Measure ID Measure Name
HBIPS-2 Hours of Physical Restraint Use *This measure is only found in the downloadable database, it is not displayed on Hospital Compare
HBIPS-3 Hours of Seclusion Use *This measure is only found in the downloadable database, it is not displayed on Hospital Compare
HBIPS-4 Patients Discharged on Multiple Antipsychotic Medications *This measure is only found in the downloadable database, it is not displayed on Hospital Compare
HBIPS-5 Patients Discharged on Multiple Antipsychotic Medications with Appropriate Justification *This measure is only found in the downloadable database, it is not displayed on Hospital Compare
HBIPS-6 Post Discharge Continuing Care Plan Created *This measure is only found in the downloadable database, it is not displayed on Hospital Compare
HBIPS-7 Post Discharge Continuing Care Plan Transmitted to Next Level of Care Provider Upon Discharge *This measure is only found in the downloadable database, it is not displayed on Hospital Compare

HOSPITAL_QUARTERLY_HAC_DOMAIN_HOSPITAL_10_29_2014

Measure
Domain 1 Score
PSI-90 Score (see Appendix C – Footnote Crosswalk for * definition)
Domain 2 Score
CLABSI Score (see Appendix C – Footnote Crosswalk for ** definition)
CAUTI Score
Total HAC Score (see Appendix C – Footnote Crosswalk for *definition)

READMISSION REDUCTION

Measure ID Measure Name
READ-30-AMI-HRRP Excess readmission ratio for heart attack patients
READ-30-HF-HRRP Excess readmission ratio for heart failure patients
READ-30-PN-HRRP Excess readmission ratio for pneumonia patients
READM-30-COPD-HRRP Excess readmission ratio for chronic obstructive pulmonary disease (COPD) patients
READM-30-HIP-KNEEHRRP Excess readmission ratio for hip/knee replacement patients

HOSPITAL_QUARTERLY_QUALITYMEASURE_PCH_HOSPITAL

​Measure ID Measure Name
PCH-1 Adjuvant Chemotherapy Colon Cancer
PCH-2 Combination Chemotherapy Breast Cancer

Heart Attack Payment - Hospital

Measure ID Measure Name
PAYM-30-AMI Payment for heart attack patients

HVBP Measures Directory

File Name Measure
(Performance Rate, Achievement Points, Improvement Points, and Measure Score)

Hvbp_ami_10_28_2014 AMI-7; AMI-8
Hvbp_hai_10_28_2014 SCIP-Inf-1; SCIP-Inf-2; SCIP-Inf-3; SCIP-Inf-4; SCIP-Inf-9
Hvbp_hcahps_10_289_2014 H-COMP-1-A-P; H-COMP-2-A-P; H-COMP-3-A-P; H-COMP-4-A-P; H-COMP-5-A-P; H-CLEANHSP-A-P; H-QUIET-A-P; H-COMP-6-Y-P
Hvbp_hf_10_28_2014 HF-1
Hvbp_outcome_10_28_2014 MORT-30-AMI; MORT-30-HF; MORT-30-PN; PSI-90; HAI-1
Hvbp_pn_10_28_2014 PN-3b; PN-6
Hvbp_quarters AMI-7a; AMI-8a; HF-1; PN-3b; PN-6; SCIP-Inf-1; SCIP-Inf-2; SCIP-Inf-3; SCIP-Inf-4; SCIP-Inf-9; SCIP-VTE-2; SCIP-CARD-2; HCAHPS; MORT-30-AMI; MORT-30-HF; MORT-30-PN; PSI-90; MSPB-1; CLABSI
Hvbp_scip_10_28_2014 SCIP-Card-2; SCIP-VTE-2
Hvbp_tps_10_28_2014 TPS Scores (Weighted and Unweighted) for Clinical Process of Care, Patient Experience of Care, Outcome, and Efficiency DomainsHvbp_efficiency_10_28_2014 MSPB-1

​Appendix B – HCAHPS Survey Questions Listing

The HCAHPS survey is 32 questions in length and contains 21 substantive items that encompass critical aspects of the hospital experience, four screening items to skip patients to appropriate questions, and 7 demographic items that are used for adjusting the mix of patients across hospitals for analytical purposes. These items address the following topics: Your Care From Nurses (Questions 1 - 4), Your Care From Doctors (Questions 5 - 7), The Hospital Environment (Questions 8 and 9), Your Experiences In This Hospital (Questions 10 - 17), When You Left The Hospital (Questions 18 - 20), Overall Rating Of Hospital (Questions 21 and 22), Understanding Your Care When You Left The Hospital (Questions 23 - 25), and About You (Questions 26 - 32).

See Spreadsheet

Hospital Compare currently reports results for 6 composite topics, 2 individual topics and 2 global topics, as follows:

  • Composite topics
    • Nurse communication (questions 1, 2, 3)
    • Doctor communication (questions 5, 6, 7)
    • Responsiveness of hospital staff (questions 4, 11)
    • Pain management (questions 13, 14)
    • Communication about medicines (questions 16, 17)
    • Discharge information (questions 19, 20)
    • Care transition (questions 23, 24, 25)
  • Individual topics
    • Cleanliness of hospital environment (question 8)
    • Quietness of hospital environment (question 9)
  • Global topics
    • Overall rating of hospital (question 21)
    • Willingness to recommend hospital (question 22)

 

# Question

Q1

During this hospital stay how often did nurses treat you with courtesy and respect?

Q2

During this hospital stay how often did nurses listen carefully to you?
Q3 During this hospital stay how often did nurses explain things in a way you could understand?
Q4 During this hospital stay, after you pressed the call button, how often did you get help as soon as you wanted it?
Q5 During this hospital stay, how often did doctors treat you with courtesy and respect?
Q6 During this hospital stay, how often did doctors listen carefully to you?
Q7 During this hospital stay, how often did doctors explain things in a way you could understand?
Q8 During this hospital stay, how often were your room and bathroom kept clean
Q9 During this hospital stay, how often was the area around your room quiet at night?
Q11 How often did you get help in getting to the bathroom or in using a bedpan as soon as you wanted?
Q13 During this hospital stay, how often was your pain well controlled?
Q14 During this hospital stay, how often did the hospital staff do everything they could to help you with your pain?
Q16 Before giving you any new medicine how often did hospital staff tell you what the medicine was for?
Q17 Before giving you any new medicine how often did hospital staff describe possible side effects in a way you could understand?
Q19 During this hospital stay, did doctors, nurses or other hospital staff talk with you about whether you would have the help you needed when you left the hospital?
Q20 During this hospital stay, did you get information in writing about what symptoms or health problems to look out for after you left the hospital?
Q21 Using any number from 0 to 10, where 0 is the worst hospital possible and 10 is the best hospital possible, what number would you use to rate this hospital during your stay?
Q22 Would you recommend this hospital to your friends and family?

Appendix C – Footnote Crosswalk

The footnote numbers below are associated with the Hospital Compare quality measures:

Hospital Compare Footnote Values

See Spreadsheet

 

Text Definition
1 The number of cases/patients is too few to report. This footnote is applied:
  • When the number of cases/patients does not meet the required minimum amount for public reporting;
  • When the number of cases/patients is too small to reliably tell how well a hospital is performing; and/or
  • To protect personal health information.
2 Data submitted were based on a sample of cases/patients. This footnote indicates that a hospital chose to submit data for a random sample of its cases/patients while following specific rules for how to select the patients.
3 Results are based on a shorter time period than required. This footnote indicates that the hospital’s results were based on data from less than the maximum possible time period generally used to collect data for a measure. View the Hospital Compare Data Collection Periods for more information.
4 Data suppressed by CMS for one or more quarters. The results for these measures were excluded for various reasons, such as data inaccuracies
5 Results are not available for this reporting period This footnote is applied when the hospital does not have data to report or has chosen not to submit data
6 Fewer than 100 patients completed the HCAHPS survey. Use these scores with caution, as the number of surveys may be too low to reliably assess hospital performance. This footnote is applied when the number of completed surveys the hospital or its vendor provided to CMS is less than 100
7 No cases met the criteria for this measure This footnote is applied when a hospital did not have any cases meet the inclusion criteria for a measure
8 The lower limit of the confidence interval cannot be calculated if the number of observed infections equals zero None
9 No data are available from the state/territory for this reporting period This footnote is applied when:
  • Too few hospitals in a state/territory had data available or
  • No data was reported for this state/territory.
10 Very few patients were eligible for the HCAHPS survey. The scores shown reflect fewer than 50 completed surveys. Use these scores with caution, as the number of surveys may be too low to reliably assess hospital performance This footnote is applied when the number of completed surveys the hospital or its vendor provided to CMS is less than 50
11 There were discrepancies in the data collection process This footnote is applied when there have been deviations from data collection protocols. CMS is working to correct this situation
12

This measure does not apply to this hospital for this reporting period

This footnote is applied when:
  • There were zero device days or procedures,
  • The hospital does not have ICU locations,
  • The hospital is a new member of the registry and didn’t have an opportunity to submit any cases or
  • The hospital does not report this voluntary measure
13 Results cannot be calculated for this reporting period This footnote is applied when:
  • The number of predicted infections is less than 1.
  • The number of observed MRSA or Clostridium difficile infections present on admission (community-onset prevalence) was above a pre-determined cut-point.
14 The results for this state are combined with nearby states to protect confidentiality This footnote is applied when a state has fewer than 10 hospitals in order to protect confidentiality. Results are combined as follows: (1) the District of Columbia and Delaware are combined; (2) Alaska and Washington are combined; (3) North Dakota and South Dakota are combined; and (4) New Hampshire and Vermont are combined. Hospitals located in Maryland and U.S. territories are excluded from the measure calculation.
* For Maryland hospitals, no data are available to calculate a PSI 90 measure result; therefore, no performance decile or points are assigned for Domain 1 and the Total HAC score is dependent on the Domain 2 score None
** This value was calculated using data reported by the hospital in compliance with the requirements outlined for this program and does not take into account information that became available at a later date. None


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