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Showing results for "ideal discharge planning".

  1. Har 2005 (pdf file)

    hcup-us.ahrq.gov/reports/annualreport/HAR_2005.pdf
    January 01, 2005 - HCUP data are ideal for analyzing treatment use and diagnostic trends, examining patient characteristics … ■ The most common patient discharge status was routine (74 percent in 2005), with the patient being … Morbid obesity Morbid obesity is defined as at least twice a person’s ideal weight, 100 pounds overweight
  2. www.ahrq.gov/sites/default/files/wysiwyg/patient-safety/highlights/ps-project-highlights-pfe.pdf
    January 01, 2023 - Strategy 2: Communicating To Improve Quality ○ Strategy 3: Nurse Bedside Shift Report ○ Strategy 4: IDEALDischarge Planning • Contains tools, materials, and training for each of the four strategies for use
  3. psnet.ahrq.gov/perspective/conversation-withpatrick-s-romano-md-mph
    July 10, 2024 - One is that no single data source is ideal or perfect. … funded several pilot projects in which states have added laboratory data to their statewide all payer patientdischarge data systems.
  4. www.ahrq.gov/sites/default/files/2024-01/stifter-report.pdf
    January 01, 2024 - real-time evidence from a source that is specific to their own patient and nursing populations.50 The ideal … Thus, clustering was an ideal tool to group episodes with similar PU risk factors together.
  5. hcup-us.ahrq.gov/reports/methods/2005_02.pdf
    January 01, 2005 - Implementing Emergency Department Data Collection Name: Starla Ledbetter Title: Assistant Manager, PatientDischarge Data Name: Ginger Cox Title: Research Analyst II Organization: Office of State Health Planning
  6. digital.ahrq.gov/sites/default/files/docs/publication/p20hs015325-hartzema-final-report-2005.pdf
    January 01, 2005 - HIT for Medication Safety in Critical Access Hospitals - Final Report …
  7. hcup-us.ahrq.gov/reports/factsandfigures/facts_figures_2006.jsp
    January 01, 2006 - HCUP data are ideal for analyzing treatment use and diagnostic trends, examining patient characteristics … The most common patient discharge status was routine (74 percent), with the patient being sent home without
  8. hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2013.jsp
    January 01, 2013 - Sep, (4) Fourth quarter, Oct – Dec Discharge year YEAR Calendar year Disposition of patient … (discharge status) DIED Indicates in–hospital death: (0) did not die during hospitalization, (1)
  9. psnet.ahrq.gov/web-mm/forgotten-turn
    August 01, 2018 - SPOTLIGHT CASE The Forgotten Turn Citation Text: Barbour S. The Forgotten Turn. PSNet [internet]. Rockville (MD): Agency for Healthcare Research and Quality, US Department of Health and Human Services. 2010. Copy Citation Format: Google Scholar BibTeX EndNote X3 XML EndNote 7 XML En…
  10. hcup-us.ahrq.gov/db/nation/kid/KID_2009_Introduction.pdf
    January 01, 2009 - Discharge year YEAR 1997, 2000, 2003, 2006, 2009 Calendar year Disposition of patient (discharge
  11. hcup-us.ahrq.gov/db/nation/kid/kid_2019_introduction.jsp
    January 01, 2012 - Discharge year YEAR Calendar year Disposition of patient (discharge status) DIED Indicates
  12. Psn-Pdf (pdf file)

    psnet.ahrq.gov/node/50614/psn-pdf
    October 30, 2019 - So, we changed the default options in the order set to be the ideal recommendations.
  13. www.ahrq.gov/sites/default/files/wysiwyg/professionals/quality-patient-safety/patient-safety-resources/resources/advances-in-patient-safety-2/vol1/Advances-Scanlon_62.pdf
    March 25, 2008 - Risk-Based Patient Safety Metrics Risk-Based Patient Safety Metrics Matthew C. Scanlon, MD; Ben-Tzion Karsh, PhD; Kelly A. Saran, MS, RN Abstract Patient safety programs require meaningful metrics. Dominant frameworks are based on two safety metrics: one that seeks to identify, measure, and eliminate error an…
  14. www.ahrq.gov/sites/default/files/wysiwyg/takeheart/training/getting-started-slides.pptx
    December 31, 2022 - Form a multidisciplinary CR quality improvement (QI) team, including the ideal composition of the team
  15. hcup-us.ahrq.gov/db/nation/kid/kid_2016_introduction.jsp
    January 01, 2016 - Discharge year YEAR Calendar year Disposition of patient (discharge status) DIED Indicates
  16. hcup-us.ahrq.gov/db/nation/kid/kid_2012_introduction.jsp
    January 01, 1998 - Discharge year YEAR Calendar year Disposition of patient (discharge status) DIED Indicates
  17. hcup-us.ahrq.gov/db/nation/nis/NISIntroduction2010.pdf
    November 01, 2015 - Discharge quarter, as received from data source Discharge year YEAR 1988-2010 Disposition of patient … (discharge status) DISP 1988-1997 Disposition of patient, uniform coding used prior to 1998:
  18. hcup-us.ahrq.gov/db/nation/nis/NIS_2009_INTRODUCTION.pdf
    January 01, 2009 - Discharge year YEAR 1988-2009 Disposition of patient (discharge status) DISP 1988-1997 Disposition
  19. hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2011.pdf
    January 01, 2011 - Discharge quarter, as received from data source Discharge year YEAR 1988-2011 Disposition of patient … (discharge status) DISP 1988-1997 Disposition of patient, uniform coding used prior to 1998:
  20. hcup-us.ahrq.gov/reports/methods/2005_03_del_379.pdf
    January 01, 2005 - The MedPAR was nearly ideal for comparing NIS estimates of Medicare inpatient outcomes because it represented

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