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  1. hcup-us.ahrq.gov/reports/methods/2017-04.pdf
    January 01, 2017 - Utilization Project (HCUP) is a family of health care databases and related software tools and products developed … Annual estimates of the resident U.S. population by a six-category urban-rural classification scheme developed … the data element PL_NCHS2006 is a six-category urban-rural classification scheme for U.S. counties developed
  2. hcup-us.ahrq.gov/reports/methods/2014-02.pdf
    January 01, 2014 - Utilization Project (HCUP) is a family of health care databases and related software tools and products developed … Annual estimates of the resident U.S. population by a six-category urban-rural classification scheme developed … the data element PL_NCHS2006 is a six-category urban-rural classification scheme for U.S. counties developed
  3. hcup-us.ahrq.gov/reports/methods/2018-03.pdf
    January 01, 2018 - Utilization Project (HCUP) is a family of health care databases and related software tools and products developed … Annual estimates of the resident U.S. population by a six-category urban-rural classification scheme developed … the data element PL_NCHS2006 is a six-category urban-rural classification scheme for U.S. counties developed
  4. hcup-us.ahrq.gov/reports/methods/2016-04.pdf
    January 01, 2016 - Utilization Project (HCUP) is a family of health care databases and related software tools and products developed … Annual estimates of the resident U.S. population by a six-category urban-rural classification scheme developed … the data element PL_NCHS2006 is a six-category urban-rural classification scheme for U.S. counties developed
  5. hcup-us.ahrq.gov/reports/methods/2013_01.pdf
    January 01, 2013 - Utilization Project (HCUP) is a family of health care databases and related software tools and products developed … Annual estimates of the resident U.S. population by a six-category urban-rural classification scheme developed … the data element PL_NCHS2006 is a six-category urban-rural classification scheme for U.S. counties developed
  6. hcup-us.ahrq.gov/reports/methods/2007_06.pdf
    January 01, 2007 - Utilization Project (HCUP) is a family of healthcare databases and related software tools and products developed … Because each of these software modules was developed for State and hospital-level rates, rather than … PSI 4 Failure to rescue or deaths per 1000 discharges having developed specified complications of care
  7. hcup-us.ahrq.gov/datainnovations/clinicaldata/tktt.jsp
    July 01, 2016 - Enhancing the Clinical Content of Administrative Data - Present on Admission (POA) Toolkit: Training Tools An official website of the Department of Health & Human Services Search All AHRQ Websites …
  8. hcup-us.ahrq.gov/datainnovations/clinicaldata/MNPOAvideotranscript.pdf
    September 24, 2010 - admitted with acute pyelonephritis had gram negative septicemia when  she was admitted or whether she developed
  9. hcup-us.ahrq.gov/toolssoftware/ccs/CCSUsersGuide.pdf
    March 01, 2016 - /data/hcup/ http://www.hcup-us.ahrq.gov/ mailto:hcup@ahrq.gov HCUP CCS 10/27/2011 2 ABSTRACT Developed … The CCS-MHSA is a stand-alone algorithm that was developed as an alternative to the mental health section … The E code classification was developed by staff at the Centers for Disease and Control and Prevention … communication, SAMHSA, 2005), a peer-reviewed journal article (Pottick et al., 2000) and an algorithm developed … This is recommended for users who have not already developed custom SAS code to load the multi-level
  10. Title: (pdf file)

    hcup-us.ahrq.gov/datainnovations/MNAbstractFinal.pdf
    September 29, 2013 - Title: State: Minnesota Title: Using Clinically Enhanced Claims Data to Guide Treatment of Acute Heart Failure Principal Investigator: Mark Sonneborn Organization: Minnesota Hospital Association Project Dates: September 30, 2010, to September 29, 2013 Grant Number: R01 HS20043-01 The long-term objec…
  11. hcup-us.ahrq.gov/reports/factsandfigures/2008/figures/2008_5_12b.jsp
    January 01, 2008 - Exhibit 5.12 Most Emergency Department Visits for MH and SA Conditions Distribution of Most Frequent Emergency Department (ED) All-listed MHSA Visits by Discharge Status, 2007 MHSA CONDITION PERCENT DISTRIBUTION BY DISCHARGE STATUS Inpatient Admission Transfer to Other Facility Other Treat…
  12. hcup-us.ahrq.gov/reports/statbriefs/sb143.jsp
    November 01, 2012 - residence Place of residence is based on the urban-rural classification scheme for U.S. counties developed
  13. hcup-us.ahrq.gov/db/nation/kid/kid_2009_introduction.jsp
    January 01, 2009 - of KID Data The Healthcare Cost and Utilization Project (HCUP) Kids’ Inpatient Database (KID) was developed … To obtain national estimates, discharge weights are developed using the AHA universe as the standard. … In addition, several statistical analysis programs have been developed to specifically calculate statistics … To obtain national estimates, discharge weights are developed using the AHA universe as the standard. … Return to Introduction SAMPLE WEIGHTS To obtain national estimates, we developed discharge weights
  14. hcup-us.ahrq.gov/db/nation/kid/KID_2009_Introduction.pdf
    January 01, 2009 - KID Data The Healthcare Cost and Utilization Project (HCUP) Kids’ Inpatient Database (KID) was developed … To obtain national estimates, discharge weights are developed using the AHA universe as the standard … In addition, several statistical analysis programs have been developed to specifically calculate statistics … To obtain national estimates, discharge weights are developed using the AHA universe as the standard … hospital-specific outcomes with certainty. 8BSAMPLE WEIGHTS To obtain national estimates, we developed
  15. hcup-us.ahrq.gov/datainnovations/clinicalcontentenhancementtoolkit/mn10.pdf
    June 21, 2014 - HOSPITAL COMMITMENT FORM HOSPITAL COMMITMENT FORM MINNESOTA HOSPITAL ASSOCIATION AGENCY FOR HEALTHCARE RESEARCH AND QUALITY (AHRQ) GRANT ADDING LAB AND PHARMACY DATA Hospital or System Name:________________________________________ Lab data: Our hospital or health system will participate in th…
  16. hcup-us.ahrq.gov/reports/statbriefs/sb38.pdf
    October 01, 2007 - For more information on the AHRQ Quality Indicators, inpatient quality, and how estimates were developed
  17. ___APS-DRG_Def.book (pdf file)

    hcup-us.ahrq.gov/db/nation/nis/APS_DRGsDefManualV26Public.pdf
    April 01, 2010 - .50 AP 1 I n t r o d u c t i o n The Ingenix All-Payer Severity-adjusted DRGs (APS-DRGs®) were developed … In developing and maintaining APS-DRGs®, Ingenix has developed a classification system that: • Is compatible … In 1994, Ingenix developed the All-Payer Severity-adjusted DRGs (APS-DRGs®) in response to the on-going … Dividing Base DRGs into Severity Subclasses CMS developed criteria to determine when to subdivide a base … APS-DRGs® incorporate several significant enhancements to the casemix classification methodologies developed
  18. hcup-us.ahrq.gov/db/nation/nis/APS-DRGsDefManualV27Public.pdf
    April 01, 2010 - . 51 AP 1 I n t r o d u c t i o n The Ingenix All-Payer Severity-adjusted DRGs (APS-DRGs®) were developed … In developing and maintaining APS-DRGs®, Ingenix has developed a classification system that: • Is compatible … In 1994, Ingenix developed the All-Payer Severity-adjusted DRGs (APS-DRGs®) in response to the on-going … Dividing Base DRGs into Severity Subclasses CMS developed criteria to determine when to subdivide a base … APS-DRGs® incorporate several significant enhancements to the casemix classification methodologies developed
  19. hcup-us.ahrq.gov/reports/statbriefs/sb203-Emergency-Department-Children-Diabetes.pdf
    January 01, 2016 - ’ residence Place of residence is based on the urban-rural classification scheme for U.S. counties developed … , pronounced "H-Cup") is a family of health care databases and related software tools and products developed
  20. hcup-us.ahrq.gov/reports/statbriefs/sb279-Diabetes-Inpatient-Stays-2018.pdf
    January 01, 2018 - residence Place of residence is based on the rural-urban continuum codes (RUCC) for U.S. counties developed … HCUP, pronounced "H-Cup") is a family of healthcare databases and related software tools and products developed

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