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Showing results for "accurately".

  1. digital.ahrq.gov/sites/default/files/docs/citation/r01hs022728-zhou-final-report-2018.pdf
    January 01, 2018 - Encoding and Processing Patient Allergy Information in EHRs - Final Report AHRQ Grant Final Progress Report Title of Project: Encoding and Processing Patient Allergy Information in EHRs Principle Inve…
  2. digital.ahrq.gov/sites/default/files/docs/citation/r18hs026196-Spyropoulos-final-report-2022.pdf
    January 01, 2022 - Implementation of a Novel Multi-Platform Evidence-Based Clinical Decision Support System – Final Report Implementation of a Novel Multi-Platform Evidence-Based Clinical Decision Support System, Principal Investigators: Alex Spyropoulos, MD and Thomas McGinn, MD, MPH Team Members: Irzaud Bacchu…
  3. digital.ahrq.gov/sites/default/files/docs/publication/r18hs017244-thomas-final-report-2010.pdf
    January 01, 2010 - could potentially be coded accurately and identified electronically through information systems, we
  4. digital.ahrq.gov/sites/default/files/docs/TRANSCRIPT%20OF%20LEVERAGING%20HEALTH%20INFORMATION%20TECHNOLOGY%20FOR%20PATIENT%20EMPOWERMENT_1.pdf
    April 08, 2010 - C:\Users\yemsrach dessalegn\Desktop\delete\transcript3.html TRANSCRIPT OF LEVERAGING HEALTH INFORMATION TECHNOLOGY FOR PATIENT EMPOWERMENT April 8, 2010 MALE SPEAKER: Welcome to today’s webinar on Leveraging Health Information Technology for Patient Empowerment. I would like to introduce today's moderator, Dr. Tere…
  5. digital.ahrq.gov/sites/default/files/docs/cds-medication-management-slides-012814.pdf
    January 28, 2014 - A National Web Conference on the Use of Clinical Decision Support to Improve Medication Management A National Web Conference on the Use of Clinical Decision Support to Improve Medication Management January 28, 2014 12:30pm – 2:00pm ET Moderator and Presenters Disclosures Moderator: Erin Grace, M.H.…
  6. digital.ahrq.gov/sites/default/files/docs/publication/r21hs020323-mollica-final-report-2014.pdf
    January 01, 2014 - The proposed VP HIT innovation will train PCPs on how to accurately identify trauma as a major medical
  7. digital.ahrq.gov/sites/default/files/docs/publication/r36hs018272-barrette-final-report-2011.pdf
    January 01, 2011 - However, it may not accurately represent the rest of the insured population in the U.S.
  8. digital.ahrq.gov/sites/default/files/docs/citation/r01hs022548-ponto-final-report-2019.pdf
    January 01, 2019 - training sessions for SHOW’s field staff on the background of the study and information required to accurately
  9. digital.ahrq.gov/sites/default/files/docs/publication/r03hs020308-levy-final-report-2013.pdf
    January 01, 2013 - Economic Analysis of an IT-Assisted Population-Based Cancer Screening Program - Final Report Grant Final Report Grant ID: R03HS020308 Economic Analysis of an IT-Assisted Population- Based Cancer Screening Program Inclusive project dates: 03/01/11 - 02/28/13 Principal Investigator: Douglas Levy, PhD Team …
  10. digital.ahrq.gov/sites/default/files/docs/page/CDS_challenges_and_barriers.pdf
    July 30, 2007 - patient information can be sent to CDSC and whether the decision support can be returned to clinicians accurately
  11. digital.ahrq.gov/sites/default/files/docs/page/C_RelevantLegalRequirementsforHealthDataExchange_1.pdf
    May 23, 2007 -  The record produced for use in evidence must accurately reflect the record as it was created and
  12. digital.ahrq.gov/sites/default/files/docs/page/C_RelevantLegalRequirementsforHealthDataExchange_0.pdf
    May 23, 2007 - The record produced for use in evidence must accurately reflect the record as it was created and maintained
  13. digital.ahrq.gov/sites/default/files/docs/publication/uc1hs016133-lozzio-final-report-2010.pdf
    January 01, 2010 - Improving Quality Care for Children with Special Needs Grant Final Report Grant ID: 5UC1HS016133 Improving Quality Care for Children with Special Needs Inclusive Dates: 09/30/05 - 01/31/10 Principal Investigator: Carmen B. Lozzio, MD, FACMG Team Members: John A. Phillips III, M…
  14. digital.ahrq.gov/sites/default/files/docs/publication/uc1hs016129-bergner-final-report-2009.pdf
    January 01, 2009 - El Dorado County Safety Net Technology Project / ACCESS El Dorado Grant Final Report Grant ID: UC1HS016129 El Dorado County Safety Net Technology Project / ACCESS El Dorado Inclusive dates: 09/30/05 - 09/29/09 Principal Investigator: Greg Walter Bergner, MD Team members: Sandr…
  15. digital.ahrq.gov/sites/default/files/docs/publication/uc1hs014882-ferranti-final-report-2008.pdf
    January 01, 2008 - Automated Adverse Drug Event Detection and Intervention - Final Report ‡ * Duke University Health System ‡ Duke Durham Regional Hospital † Duke University Hospital § Duke Raleigh Hospital Grant Final Repor…
  16. digital.ahrq.gov/sites/default/files/docs/publication/r18hs017186-nebeker-final-report-2011.pdf
    January 01, 2011 - Veterans Affairs Integrated Medication Manager - Final Report Grant Final Report Grant ID: R18HS017186 Veterans Affairs Integrated Medication Manager Inclusive Dates: 09/30/07 - 10/01/11 …
  17. digital.ahrq.gov/sites/default/files/docs/citation/r21hs024581-avidan-final-report-2020.pdf
    January 01, 2020 - Anesthesiology Control Tower: Feedback Alerts to Supplement Treatment (ACTFAST) - Final Report 1. TITLE PAGE Title: Anesthesiology Control Tower: Feedback Alerts to Supplement Treatment (ACTFAST) Principal Investigator: Michael Avidan, MBBCh Key Team Members: Arbi Ben Abdallah, PhD; Yixin Chen, PhD; Brad Fritz…
  18. digital.ahrq.gov/sites/default/files/docs/citation/cedar_environmental_scan.pdf
    April 01, 2023 - The additional Citation search parameters allow clients to search for artifacts more accurately.
  19. digital.ahrq.gov/sites/default/files/docs/citation/r21hs024003-tulu-final-report-2018.pdf
    January 01, 2018 - levels of data for three different joints (back, left hip, and left knee joints) as quickly and as accurately
  20. digital.ahrq.gov/sites/default/files/docs/citation/r18hs022666-weckmann-final-report-2016.pdf
    January 01, 2016 - This demonstrates that risk categories can accurately predict which patients are at the highest risk

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