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Total Results: 256 records

Showing results for "good".

  1. hcup-us.ahrq.gov/db/nation/nis/APS-DRGs%20V23%20Weights%20Manual.pdf
    August 01, 2006 - You r Name: Email Add ress: Company/Organization: Phone N umb er: I rate this manual: Excellent Good
  2. hcup-us.ahrq.gov/reports/spotlights_archive.jsp
    December 01, 2019 - Read more about this publication When Good Operations Go Bad: The Additive Effect of Comorbidity
  3. 2016-05 (pdf file)

    hcup-us.ahrq.gov/reports/methods/2016-05.pdf
    January 01, 2016 - All three of these factors need to be present in outpatient data for the State to be a good data source … All three of these factors need to be present for the HCUP State to be a good data source for studying
  4. hcup-us.ahrq.gov/news/exhibit_booth/HCUPOverviewPresentationDeck_083021.pdf
    March 10, 2021 - Statistical Coding HCUP Tools Programs X X X X X X X X X X X MS Excel and Access are NOT GOOD
  5. hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1998_Design_Report.jsp
    January 01, 1998 - recognized that the approach chosen would not be as efficient, the extremely large sample sizes yield good
  6. hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1999_Design_Report.jsp
    January 01, 1999 - recognized that the approach chosen would not be as efficient, the extremely large sample sizes yield good
  7. hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1993_Design_Report.jsp
    January 01, 1993 - recognized that the approach chosen would not be as efficient, the extremely large sample sizes yield good
  8. hcup-us.ahrq.gov/news/exhibit_booth/HCUPOverviewDeck_121422.pdf
    February 09, 2022 - Statistical Coding HCUP Tools Programs X X X X X X X X X X X MS Excel and Access are NOT GOOD
  9. hcup-us.ahrq.gov/reports/methods/2006_2.pdf
    January 01, 2006 - These differences imply that PNUM_R is neither universally “good” nor universally “bad.”
  10. hcup-us.ahrq.gov/toolssoftware/comorbidityicd10/CMR-User-Guide-v2024-1.pdf
    December 01, 2023 - User Guide: Elixhauser Comorbidity Software Refined for ICD-10-CM, v2024.1 USER GUIDE: ELIXHAUSER COMORBIDITY SOFTWARE REFINED FOR ICD-10-CM DIAGNOSES, v2024.1 Issued December 2023 Agency for Healthcare Research and Quality Healthcare Co…
  11. hcup-us.ahrq.gov/toolssoftware/comorbidityicd10/CMR-User-Guide-v2025-1.pdf
    November 01, 2024 - User Guide (v2025.1) for Elixhauser Comorbidity Software Refined for ICD-10-CM USER GUIDE: ELIXHAUSER COMORBIDITY SOFTWARE REFINED FOR ICD-10-CM DIAGNOSES, v2025.1 Issued November 2024 Agency for Healthcare Research and Quality Heal…
  12. hcup-us.ahrq.gov/news/exhibit_booth/HCUPOverviewPresentation2020Update.pdf
    April 01, 2020 - Statistical Coding HCUP Tools Programs X X X X X X X X X X X MS Excel and Access are NOT GOOD
  13. hcup-us.ahrq.gov/news/exhibit_booth/HCUPOverviewDeck_092921.pdf
    March 10, 2021 - Statistical Coding HCUP Tools Programs X X X X X X X X X X X MS Excel and Access are NOT GOOD
  14. hcup-us.ahrq.gov/reports/methods/2020-03-Supplements.pdf
    January 01, 2020 - B Blue Cross WA G 4 Health Maintenance Organization (HMO) (e.g., Group Health, Kaiser Foundation, Good
  15. 2016-07 (pdf file)

    hcup-us.ahrq.gov/reports/methods/2016-07.pdf
    January 01, 2016 - For this report, we chose to implement additional exclusion criteria to include only States with “good … HCUP State database and by year in the user guide for HCUP Revisit Variables.12 The thresholds for “good … The User Guide for HCUP Revisit Variables18 to determine which databases have good reporting of patient
  16. hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1997_Design_Report.pdf
    January 01, 1997 - recognized that the approach chosen would not be as efficient, the extremely large sample sizes yield good
  17. hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1995_Design_Report.jsp
    January 01, 1995 - recognized that the approach chosen would not be as efficient, the extremely large sample sizes yield good
  18. hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1996_Design_Report.jsp
    January 01, 1996 - recognized that the approach chosen would not be as efficient, the extremely large sample sizes yield good
  19. hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1997_Design_Report.jsp
    January 01, 1997 - recognized that the approach chosen would not be as efficient, the extremely large sample sizes yield good
  20. hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1992_1988_Design_Report.jsp
    January 01, 1992 - that the approach chosen would not be as efficient, the extremely large sample sizes would still yield good

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