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Showing results for "evaluating".

  1. digital.ahrq.gov/location/usa-il-urbana
    January 01, 2023 - USA, IL, Urbana A Longitudinal Machine Learning Approach Providing Clinicians Timely Detection to Prevent Military Suicide Description This research will develop and validate a clinician-facing longitudinal risk-prediction tool using self-reported data from US military service…
  2. digital.ahrq.gov/location/usa-mn-clouquet
    January 01, 2023 - USA, MN, Clouquet HIT-Based Regional Medication Management Pharmacy System Description Implemented an interactive video-conferencing system at rural hospitals to provide continuing education for pharmacist and pharmacy technicians as well as a model for bedside verification of…
  3. digital.ahrq.gov/funding-mechanism/ahrq-patient-centered-outcomes-research-pcor-mentored-clinical-investigator-award
    January 01, 2023 - AHRQ Patient-Centered Outcomes Research (PCOR) Mentored Clinical Investigator Award (K08) Using Electronic Health Records to Support Decision-Making in Pediatric Obesity Care Description This project will evaluate and compare different tools within electronic health records to…
  4. digital.ahrq.gov/principal-investigator/siders-jane
    January 01, 2023 - Siders, Jane Creating Online NICU Networks to Educate, Consult & Team Description Developed, implemented, and evaluated a cooperative effort for using health IT to facilitate a continuum of appropriate medical and developmental care, from the time infants are admitted to Neona…
  5. digital.ahrq.gov/ahrq-funded-projects/evaluation-and-integration-automatic-fall-prediction-system/citation/elder-path
    January 01, 2023 - Elder path tortuosity covaries with MMSE geographical orientation subscale. Citation Kearns WD. Elder path tortuosity covaries with MMSE geographical orientation subscale. Gerontechnology 2010;9(2): 176-7. Link http://journal.gerontechnology.org/currentIssueContent.aspx?aid=1178 Principa…
  6. Psn-Pdf (pdf file)

    psnet.ahrq.gov/node/35953/psn-pdf
    May 24, 2006 - Too exhausted to act safely? May 24, 2006 Spath P. Hosp Peer Rev. 2006;31(4):56-59. https://psnet.ahrq.gov/issue/too-exhausted-act-safely The author discusses how to identify and evaluate worker fatigue. Part II of this article outlines specific techniques for reducing health care worker fatigue. https://psnet.ah…
  7. digital.ahrq.gov/principal-investigator/dean-nathan-c
    January 01, 2023 - Dean, Nathan C. Development of SMART on FHIR Interoperable Clinical Decision Support for Emergency Department Patients with Pneumonia and Pilot Deployment into Novel Epic Electronic Health Record Environments Description This research will develop a SMART on FHIR version of an…
  8. digital.ahrq.gov/organization/ihc-health-services-inc
    January 01, 2023 - Ihc Health Services, Inc. Development of SMART on FHIR Interoperable Clinical Decision Support for Emergency Department Patients with Pneumonia and Pilot Deployment into Novel Epic Electronic Health Record Environments Description This research will develop a SMART on FHIR ver…
  9. digital.ahrq.gov/principal-investigator/ward-michael-j
    January 01, 2023 - Ward, Michael J. Development of SMART on FHIR Interoperable Clinical Decision Support for Emergency Department Patients with Pneumonia and Pilot Deployment into Novel Epic Electronic Health Record Environments Description This research will develop a SMART on FHIR version of a…
  10. digital.ahrq.gov/principal-investigator/langlotz-curtis-p
    January 01, 2023 - Langlotz, Curtis P. Development of SMART on FHIR Interoperable Clinical Decision Support for Emergency Department Patients with Pneumonia and Pilot Deployment into Novel Epic Electronic Health Record Environments Description This research will develop a SMART on FHIR version o…
  11. digital.ahrq.gov/principal-investigator/geller-pamela
    January 01, 2023 - Geller, Pamela A. Empower NICU - A Bridge to Resources for Adjusting and Coping with Emotions (EmBRACE) Description This research will develop, evaluate, and test the efficacy of Empower NICU – A Bridge to Resources for Adjusting and Coping with Emotions (EmBRACE), a mobile he…
  12. digital.ahrq.gov/principal-investigator/bourque-jamieson-macdonald
    January 01, 2023 - Bourque, Jamieson MacDonald Predictive Monitoring: IMPact of Real-Time Predictive Monitoring in Acute Care Cardiology Trial (PM-IMPACCT) Description This research evaluates an artificial intelligence risk predictive tool called CoMET that uses visual outputs of patient data to…
  13. digital.ahrq.gov/organization/harvard-th-chan-school-public-health
    January 01, 2023 - Harvard T.H. Chan School of Public Health Scalable Digital Communication Intervention to Support Older Adults and Care Partners Transitioning Home After Major Surgery Description This research will develop and evaluate the Perioperative Optimization of Senior Health (myPOSH) m…
  14. digital.ahrq.gov/principal-investigator/mcknight-jacob
    January 01, 2023 - McKnight, Jacob ED Information Systems: Kentucky & Indiana Hospitals Description Implemented and trained users of a Web-based electronic record system in the emergency departments of two small community hospitals, one medium-sized community hospital, one rural hospital, and th…
  15. digital.ahrq.gov/principal-investigator/chiu-chung-yi
    January 01, 2023 - Chiu, Chung-Yi A Longitudinal Machine Learning Approach Providing Clinicians Timely Detection to Prevent Military Suicide Description This research will develop and validate a clinician-facing longitudinal risk-prediction tool using self-reported data from US military service …
  16. digital.ahrq.gov/health-it-tools-and-resources/ahrq-funded-project-resources-archives/managing-hypertensive-patient
    January 01, 2023 - Managing the Hypertensive Patient: User's Manual Description This is an instruction guide for how to use the clinical decision support for HTN in te eClinicalWorks EMR system. Document Type Clinical/Practice Guidelines Document Source Evaluation of a Computerized Clin…
  17. digital.ahrq.gov/population/military-service-member
    January 01, 2023 - Military Service Member A Longitudinal Machine Learning Approach Providing Clinicians Timely Detection to Prevent Military Suicide Description This research will develop and validate a clinician-facing longitudinal risk-prediction tool using self-reported data from US military…
  18. www.ahrq.gov/sites/default/files/2024-07/stock-easton-report.pdf
    January 01, 2024 - about the purpose of this project: to improve patient safety around medications by implementing and evaluating
  19. www.uspreventiveservicestaskforce.org/uspstf/document/evidence-summary29/hepatitis-b-virus-infection-screening-nonpregnant-adolescents-adults-may-2014
    May 27, 2014 - Mixed treatment comparison meta-analysis evaluating the relative efficacy of nucleos(t)ides for treatment
  20. www.uspreventiveservicestaskforce.org/home/getfilebytoken/_2-KL_eHkuBhbGrzcAHsB-
    June 01, 2022 - Screening for Depression and Suicide Risk in Children and Adolescents: US Preventive Services Task Force Recommendation Statement Screening for Depression and Suicide Risk in Children and Adolescents US Preventive Services Task Force Recommendation Statement US Preventive Services Task Force Summary of Recommendatio…