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Showing results for "identify".

  1. hcup-us.ahrq.gov/db/vars/cm_aids/nrdnote.jsp
    August 01, 2015 - The AHRQ comorbidity measures identify coexisting medical conditions that are not directly related to
  2. hcup-us.ahrq.gov/db/vars/cm_anemdef/nrdnote.jsp
    August 01, 2015 - The AHRQ comorbidity measures identify coexisting medical conditions that are not directly related to
  3. hcup-us.ahrq.gov/db/vars/cm_liver/nrdnote.jsp
    August 01, 2015 - The AHRQ comorbidity measures identify coexisting medical conditions that are not directly related to
  4. hcup-us.ahrq.gov/db/vars/cm_hypothy/nrdnote.jsp
    August 01, 2015 - The AHRQ comorbidity measures identify coexisting medical conditions that are not directly related to
  5. hcup-us.ahrq.gov/db/vars/cm_renlfail/nrdnote.jsp
    August 01, 2015 - The AHRQ comorbidity measures identify coexisting medical conditions that are not directly related to
  6. hcup-us.ahrq.gov/db/vars/cm_tumor/nrdnote.jsp
    August 01, 2015 - The AHRQ comorbidity measures identify coexisting medical conditions that are not directly related to
  7. hcup-us.ahrq.gov/db/vars/ccsmspn/kidnote.jsp
    September 01, 2008 - Mental Health Substance Abuse Clinical Classification Software (CCS-MHSA) assigns variables that identify
  8. hcup-us.ahrq.gov/db/vars/ccsmgnn/kidnote.jsp
    September 01, 2008 - Mental Health Substance Abuse Clinical Classification Software (CCS-MHSA) assigns variables that identify
  9. hcup-us.ahrq.gov/db/vars/eccsmgnn/kidnote.jsp
    September 01, 2008 - Mental Health Substance Abuse Clinical Classification Software (CCS-MHSA) assigns variables that identify
  10. hcup-us.ahrq.gov/db/vars/cm_alcohol/nrdnote.jsp
    August 01, 2015 - The AHRQ comorbidity measures identify coexisting medical conditions that are not directly related to
  11. hcup-us.ahrq.gov/tech_assist/data_query/508_Methods_Community_Statistics20220128.pdf
    January 01, 2021 - was used to estimate the impact of missing hospitals on HCUP community statistics and, therefore, to identify … Results that could indirectly identify a hospital also were suppressed (i.e., at least two hospitals … Statistics that are based on fewer than 11 observations or could indirectly identify a hospital are … These indicators are intended to identify hospitalizations that are potentially preventable by good … for the PQIs and PDIs, these calculations used patient residence rather than hospital location to identify
  12. hcup-us.ahrq.gov/reports/methods/2020-01.pdf
    January 01, 2020 - These tables also identify where to find information on how 2011 State-specific discharge counts by … Not all HCUP States provide the necessary information to identify dual enrollment.
  13. hcup-us.ahrq.gov/reports/methods/MS2021-01-Expected-Payer-Coding.pdf
    November 30, 2021 - These tables also identify where to find information on how 2011 State-specific discharge counts by … Not all HCUP States provide the necessary information to identify dual enrollment.
  14. hcup-us.ahrq.gov/reports/methods/MS2022-02-Expected-Payer-Coding.pdf
    December 14, 2022 - These tables also identify where to find information on how 2011 State-specific discharge counts by … Not all HCUP States provide the necessary information to identify dual enrollment.
  15. hcup-us.ahrq.gov/reports/statbriefs/sb10.pdf
    July 01, 2006 - Higher rates of “preventable hospitalizations” identify areas where potential improvements in the health … The PQIs are a set of measures that can be used with hospital inpatient discharge data to identify quality … Therefore, differences in preventable hospitalization rates may be used to identify areas that require … state; to compare data from two or more states; to conduct market area variation analyses; and to identify
  16. hcup-us.ahrq.gov/db/nation/nis/APS_DRGsWeightsV26Public.pdf
    April 01, 2010 - Severity-adjusted DRGs (APS-DRGs®) provide statistically valid, normative standards to help users identify … Trim points for the APS-DRGs® were then merged onto the patient file and used to identify outliers to … IDENTIFY AND ASSESS ATYPICAL PATTERNS THAT MIGHT AFFECT WEIGHTS As an additional quality-control measure … The purpose of this step was to identify potential problems in the preceding data processing steps
  17. hcup-us.ahrq.gov/spssload/spssload_search.jsp
    September 01, 2025 - Please refer to the LOC file to identify the issue and adjust accordingly.
  18. hcup-us.ahrq.gov/db/state/sedddist/sedddist_hospital.jsp
    March 01, 2025 - To identify community hospitals, the SEDD must be linked to the AHA Annual Survey of Hospitals by the
  19. hcup-us.ahrq.gov/db/nation/kid/kid_2003_stspecific_restr.jsp
    January 01, 2000 - Sources of KID Data and State-Specific Restrictions 2003 An official website of the Department of Health & Human Services Search All AHRQ Websites Careers Contact Us Espanol …
  20. hcup-us.ahrq.gov/db/nation/kid/KID_Sources_and_Restrictions_2003.pdf
    January 01, 2003 - Sources of KID Data and State-Specific Restrictions 2003 AZ Arizona Department of Health Services No restrictions CA Office of Statewide Health Planning & Development Confidentiality of Records • To meet California confidentiality requirements, admission month (AMONTH), age in ye…

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