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Total Results: 256 records

Showing results for "good".

  1. hcup-us.ahrq.gov/toolssoftware/comorbidityicd10/CMR-User-Guide-v2022-1.pdf
    October 01, 2021 - Com-ICD10CM-User-Guide-v2022-1 Issued October 2021 Agency for Healthcare Research and Quality Healthcare Cost and Utilization Project (HCUP) Phone: (866) 290-HCUP (4287) Email: hcup@ahrq.gov Website: www.hcup-us.ahrq.gov USER GUIDE: ELIXHAU…
  2. hcup-us.ahrq.gov/db/nation/nis/reports/NIS_2002_Design_Report.jsp
    January 01, 2002 - While this approach was admittedly less efficient, the extremely large sample sizes yield good estimates
  3. hcup-us.ahrq.gov/reports/methods/2006_1.pdf
    January 01, 2006 - The lower proportion of hospitals with good quality data in this study compared to Houchens and Elixhauser
  4. hcup-us.ahrq.gov/reports/methods/Supplements2020-01.pdf
    September 29, 2020 - 004 2008–2018 N/A N/A Health Maintenance Organization (HMO) (e.g., Group Health, Kaiser Foundation, Good
  5. hcup-us.ahrq.gov/reports/methods/MS2022-02-Expected-Payer-Coding-Supplements.pdf
    December 14, 2022 - 004 2008–2020 N/A N/A Health Maintenance Organization (HMO) (e.g., Group Health, Kaiser Foundation, Good
  6. hcup-us.ahrq.gov/reports/methods/MS2021-01-Expected-Payer-Coding-Supplements.pdf
    November 30, 2021 - 004 2008–2019 N/A N/A Health Maintenance Organization (HMO) (e.g., Group Health, Kaiser Foundation, Good
  7. hcup-us.ahrq.gov/reports/methods/Comparison_Report_NIS11988-92Final.pdf
    July 11, 1996 - Nevertheless, these differences do not appear to follow any pattern, and the overall agreement is good … The agreement is good for rural hospitals.
  8. hcup-us.ahrq.gov/tech_assist/software/508course.jsp
    September 05, 2020 - HCUP Software Tools Tutorial - Accessible Version Skip Navigation An official website of the Department of Health & Human Services Search All AHRQ Sites Careers Contact Us Español …
  9. hcup-us.ahrq.gov/db/nation/nis/Overview_of_NIS_2001.pdf
    January 01, 2001 -  When creating national estimates, it is a good idea to check your estimates against other data
  10. hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2001.jsp
    January 01, 2001 - When creating national estimates, it is a good idea to check your estimates against other data sources
  11. hcup-us.ahrq.gov/reports/methods/2008_04.pdf
    January 01, 2008 - adjustment factors for Diagnosis Related Groups (DRGs) in 2003 showed generalizability to be quite good
  12. hcup-us.ahrq.gov/db/nation/nis/reports/NIS_2003_Design_Report.jsp
    January 01, 2003 - While this approach was admittedly less efficient, the extremely large sample sizes yield good estimates
  13. hcup-us.ahrq.gov/tech_assist/faq.jsp
    October 01, 2024 - Yes, because the NIS spans more than 20 years of data, it is a good tool for longitudinal
  14. hcup-us.ahrq.gov/db/nation/kid/Introduction_to_KID_2003.pdf
    January 01, 2003 - HCUP KID (11/24/15) 27 Introduction to the HCUP KID • When creating national estimates, it is a good
  15. hcup-us.ahrq.gov/db/nation/nis/reports/NIS_2004_Design_Report.jsp
    January 01, 2004 - While this approach was admittedly less efficient, the extremely large sample sizes yield good estimates
  16. hcup-us.ahrq.gov/db/nation/kid/kid_2003_introduction_rpt.jsp
    January 01, 2003 - When creating national estimates, it is a good idea to check your estimates against other data sources
  17. hcup-us.ahrq.gov/db/nation/nis/Introduction_to_NIS_2002.pdf
    January 01, 2002 - HCUP NIS (11/17/15) 27 Introduction to the HCUP NIS  When creating national estimates, it is a good
  18. hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2002.jsp
    January 01, 2002 - When creating national estimates, it is a good idea to check your estimates against other data sources
  19. hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2003_v7.pdf
    January 01, 2003 - HCUP NIS (11/17/15) 28 Introduction to the HCUP NIS  When creating national estimates, it is a good
  20. MAINTAIN AND EXPAND (pdf file)

    hcup-us.ahrq.gov/reports/methods/2011_03.pdf
    January 01, 2011 - the few who commented, the accuracy of the coding of the Reason for Visit field was assumed to be good

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