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Showing results for "improved".

  1. hcup-us.ahrq.gov/datainnovations/raceethnicitytoolkit/ca6.jsp
    November 01, 2014 - FAQs about Collecting Patient Race, Ethnicity, and Language - For Hospital Staff An official website of the Department of Health & Human Services Search All AHRQ Websites Careers Contact Us …
  2. hcup-us.ahrq.gov/reports/methods/2003_04.pdf
    January 01, 2003 - QIs, originally developed by AHRQ staff (and termed the HCUP QIs), recently have been revised and improved … QIs, originally developed by AHRQ staff (and termed the HCUP QIs), recently have been revised and improved
  3. hcup-us.ahrq.gov/datainnovations/clinicaldata/lvfeedback.jsp
    February 01, 2025 - Enhancing the Clinical Content of Administrative Data - Laboratory Data Toolkit: Feedback and Reporting Tools An official website of the Department of Health & Human Services Search All AHRQ Websites …
  4. hcup-us.ahrq.gov/datainnovations/clinicaldata/AHRQHCUPfinalNov09BDiefenbach.jsp
    April 09, 2011 - Adding Clinical Data Elements to Administrative Data An official website of the Department of Health & Human Services Search All AHRQ Websites Careers Contact Us Espanol FAQs …
  5. hcup-us.ahrq.gov/db/nation/nis/reports/2001niscomparisonrpt.jsp
    November 01, 2015 - Including the same hospitals across years improved the precision of trend analyses, although it may have … In particular, estimates of discharge proportions improved in 2001, largely because diagnosis and procedure … ALOS comparisons were greatly improved as well.
  6. hcup-us.ahrq.gov/reports/methods/NIS_Comparison_Report_2001.pdf
    January 01, 2001 - Including the same hospitals across years improved the precision of trend analyses, although it may … In particular, estimates of discharge proportions improved in 2001, largely because diagnosis and procedure … ALOS comparisons were greatly improved as well.
  7. hcup-us.ahrq.gov/overview.jsp
    February 01, 2022 - HCUP The Healthcare Cost and Utilization Project (HCUP, pronounced "H-Cup") is a family of healthcare databases and related software tools and products developed through a Federal-State-Industry partnership and sponsored by the Agency for Healthcare Research and Quality (AHRQ). HCUP databases bring together the data…
  8. hcup-us.ahrq.gov/datainnovations/clinicaldata/3MSummaryResultsReportFinal.jsp
    October 03, 2010 - We agreed with the overall philosophical approach of prior research that used laboratory values for improved
  9. hcup-us.ahrq.gov/datainnovations/clinicaldata/Attachment2Survey_25FEB2008_Draft.jsp
    October 01, 2010 - Hospital Electronic Capacity Survey An official website of the Department of Health & Human Services Search All AHRQ Websites Careers Contact Us Espanol FAQs Email Updates …
  10. hcup-us.ahrq.gov/datainnovations/raceethnicitytoolkit/nm10.jsp
    July 01, 2016 - Collection and Use of Race and Ethnicity Data for Discharge Data Reporting Systems: The New Mexico Race/Ethnicity Data Project An official website of the Department of Health & Human Services Search All…
  11. hcup-us.ahrq.gov/reports/statbriefs/sb202-Mental-Substance-Use-Teenagers.pdf
    November 01, 2015 - The evidence base for pharmacologic and psychosocial treatments of M/SUDs has improved.6 Medicaid expansions
  12. hcup-us.ahrq.gov/reports/methods/2003_05.pdf
    January 01, 2003 - QIs, originally developed by AHRQ staff (and termed the HCUP QIs), recently have been revised and improved
  13. Title: (pdf file)

    hcup-us.ahrq.gov/datainnovations/NJAbstractFinal.pdf
    September 29, 2013 - Title: State: New Jersey Title: Comparative Effectiveness of Prehospital and Hospital Emergency Care Principal Investigator: Joel C. Cantor Organization: Rutgers The State University of New Jersey, New Brunswick Project Dates: September 30, 2010, to September 29, 2013 Grant Number: R01 HS20097-01 P…
  14. 2012 04 (pdf file)

    hcup-us.ahrq.gov/reports/methods/2012_04.pdf
    January 01, 2012 - HCUP Methods Series kbr33831 Contact Information: Healthcare Cost and Utilization Project (HCUP) Agency for Healthcare Research and Quality 540 Gaither Road Rockville, MD 20850 http://www.hcup-us.ahrq.gov For Technical Assistance with HCUP Products: Email: hcup@ahrq.gov or Phone: 1-866-29…
  15. hcup-us.ahrq.gov/datainnovations/clinicaldata/MNPOAvideotranscript.pdf
    September 24, 2010 - Michael on screen:     Michael speaking:  My name is Michael Pine.  I’m an academic cardiologist who, for the past  two decades, has been developing and applying new methods of measuring and    improving clinical quality.  Today I’ll be sharing some information with you  about what we, as physicians, need to know abou…
  16. hcup-us.ahrq.gov/datainnovations/raceethnicitytoolkit/or18.jsp
    July 01, 2016 - Link Plus Tip Sheet and Resources An official website of the Department of Health & Human Services Search All AHRQ Websites Careers Contact Us Espanol FAQs Email Updates …
  17. hcup-us.ahrq.gov/datainnovations/clinicaldata/lvpres.jsp
    February 01, 2025 - Enhancing the Clinical Content of Administrative Data - Laboratory Data Toolkit: Initiation Tools An official website of the Department of Health & Human Services Search All AHRQ Websites Careers …
  18. hcup-us.ahrq.gov/datainnovations/raceethnicitytoolkit/ca5.pdf
    June 16, 2014 - FAQs About Collection of REL - For Patients FREQUENTLY ASKED QUESTIONS ABOUT THE COLLECTION OF PATIENT RACE, ETHNICITY, & LANGUAGE (FOR PATIENTS) 1 Target Audience: Patients Purpose: This document provides answers to questions that are frequently asked by patients during the admission/registration pr…
  19. hcup-us.ahrq.gov/datainnovations/raceethnicitytoolkit/or32.pdf
    October 08, 2012 - Pregnancy Risk Factors and Birth Outcomes within Oregon’s AI/AN Population, 2008-2010 Northwest Portland Area Indian Health Board Indian Leadership for Indian Health Pregnancy risk factors and birth outcomes within Oregon’s American Indian/Alaska Native population, 2008-2010 Suzanne Zane MCH Ep…
  20. hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2021.jsp
    January 01, 2021 - However, race coding has improved in recent years. … several reasons: It significantly reduced the margin of error for estimates and delivered improved

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