-
digital.ahrq.gov/principal-investigator/shah-sareen-s
January 01, 2023 - Shah, Sareen S.
ML-ROVER: Machine Learning to Reduce Laboratory Test Overutilization
Description
The study will develop, validate, implement, and assess the usability of a machine learning based clinical decision support tool designed to reduce laboratory testing overutilizati…
-
digital.ahrq.gov/principal-investigator/dziorny-adam-c
January 01, 2023 - Dziorny, Adam C.
ML-ROVER: Machine Learning to Reduce Laboratory Test Overutilization
Description
The study will develop, validate, implement, and assess the usability of a machine learning based clinical decision support tool designed to reduce laboratory testing overutilizat…
-
digital.ahrq.gov/ahrq-funded-projects/intervention-inc-interactive-nutrition-comics-urban-minority-youth
January 01, 2023 - Intervention INC: Interactive Nutrition Comics for Urban Minority Youth
Project Final Report ( PDF , 1.49 MB) Disclaimer
Disclaimer
The findings and conclusions in this document are those of the author(s), who are responsible for its content, and do not necessarily represent th…
-
digital.ahrq.gov/principal-investigator/clapp-mark
January 01, 2023 - Clapp, Mark A.
An AI-Directed CDS Tool to Reduce Iron Deficiency Anemia in Pregnancy: A Randomized Controlled Trial (AID-IDA Trial)
Description
This study will develop and establish the efficacy of an actionable predictive model to identify pregnant individuals at high risk fo…
-
digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/kuperman-gj-et-al-2003
January 01, 2003 - Kuperman GJ et al. 2003 "Computer physician order entry: benefits, costs, and issues."
Reference
Kuperman GJ, Gibson RF. Computer physician order entry: benefits, costs, and issues. Ann Intern Med 2003;139(1):31-39.
Abstract
"Several analyses have detected substantial quality problems througho…
-
digital.ahrq.gov/location/usa-ny-rochester
January 01, 2023 - USA, NY, Rochester
ML-ROVER: Machine Learning to Reduce Laboratory Test Overutilization
Description
The study will develop, validate, implement, and assess the usability of a machine learning based clinical decision support tool designed to reduce laboratory testing overutiliz…
-
digital.ahrq.gov/organization/university-rochester
January 01, 2023 - University of Rochester
ML-ROVER: Machine Learning to Reduce Laboratory Test Overutilization
Description
The study will develop, validate, implement, and assess the usability of a machine learning based clinical decision support tool designed to reduce laboratory testing overu…
-
digital.ahrq.gov/health-care-theme/technology-usability
January 01, 2023 - Technology Usability
Artificial Intelligence and Human Factors in Healthcare Quality & Safety
Description
Using a conference model, this study convenes a multidisciplinary group of experts to explore the integration of human factors engineering approaches in the implementation…
-
digital.ahrq.gov/principal-investigator/mahler-simon
January 01, 2023 - Mahler, Simon A
Digital EMS Point-of-Care Innovation to Improve Rural STEMI Outcomes
Description
This research will develop, implement, refine, and evaluate an app to support clinical decisions for ST-Elevation Myocardial Infarction care in rural areas by emergency medical ser…
-
digital.ahrq.gov/principal-investigator/abraham-olufunmilola
January 01, 2023 - Abraham, Olufunmilola
Disseminating and Implementing MedSMA℞T Families in Emergency Departments: A Randomized Control Trial to Assess Effectiveness of an Evidence-Based Gaming Intervention to Reduce Opioid Misuse
Description
This research tests the effectiveness of MedSMA℞T Mo…
-
digital.ahrq.gov/population/caregiver
January 01, 2025 - Caregiver
Bedside Notes: A Multicenter Trial to Improve Family Clinical Note Access and Outcomes for Hospitalized Children
Description
This research will evaluate the effectiveness of Bedside Notes, a digital health solution designed to provide caregivers with real-time access…
-
digital.ahrq.gov/technology/clinical-decision-support-system
January 08, 2025 - Clinical Decision Support System
New performance measurement framework for realizing patient-centered clinical decision support: Qualitative development study.
Citation
Dullabh P, Zott C, Gauthreaux N, Swiger J, Lomotan E, Sittig DF. New performance measurement framework for r…
-
digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/howard-j-clark-ec
January 01, 2023 - Howard J, Clark EC, Friedman A, et al. "Electronic health record impact on work burden in small, unaffiliated, community-based primary care practices."
Reference
Howard J, Clark EC, Friedman A, et al. Electronic health record impact on work burden in small, unaffiliated, community-based primary care p…
-
digital.ahrq.gov/sites/default/files/docs/transforming-guidelines-action-slides-06152023.pdf
June 15, 2023 - Exercise reduces falls by 24%. … Impact Analysis
Evidence that rule changes
physician behavior and
improves patient outcomes
and/or reduces
-
digital.ahrq.gov/population/female
January 01, 2023 - Female
An AI-Directed CDS Tool to Reduce Iron Deficiency Anemia in Pregnancy: A Randomized Controlled Trial (AID-IDA Trial)
Description
This study will develop and establish the efficacy of an actionable predictive model to identify pregnant individuals at high risk for postpa…
-
digital.ahrq.gov/organization/university-illinois-chicago
January 01, 2023 - University of Illinois at Chicago
Integrating Contextual Factors into Clinical Decision Support to Reduce Contextual Error and Improve Outcomes in Ambulatory Care
Description
This research studied whether clinical decision support could reduce contextual errors, improve patien…
-
digital.ahrq.gov/program-overview/research-stories/breathing-easy-virtual-medication-education-patients-chronic-obstructive-pulmonary-disease
January 01, 2023 - Breathing Easy: Virtual Medication Education for Patients with Chronic Obstructive Pulmonary Disease
Theme:
Engaging and Empowering Patients and Caregivers
Subtheme:
Improving Care During Patient Transitions
Virtual visits with members of a pharmacy team can support patients recently disch…
-
digital.ahrq.gov/principal-investigator/manning-john-d
January 01, 2024 - Manning, John D.
Rural EMS STEMI patients - why the delay to PCI?
Citation
Stopyra JP, Snavely AC, Ashburn NP, Supples MW, Brown WM, Miller CD, Mahler SA. Rural EMS STEMI patients - why the delay to PCI? Prehosp Emerg Care. 2024 Jan 18:1-8. doi: 10.1080/10903127.2024.2305967. …
-
digital.ahrq.gov/principal-investigator/stopyra-jason-p
January 01, 2024 - Stopyra, Jason P.
Rural EMS STEMI patients - why the delay to PCI?
Citation
Stopyra JP, Snavely AC, Ashburn NP, Supples MW, Brown WM, Miller CD, Mahler SA. Rural EMS STEMI patients - why the delay to PCI? Prehosp Emerg Care. 2024 Jan 18:1-8. doi: 10.1080/10903127.2024.2305967.…
-
digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/durieux-p-et-al-2008
January 01, 2008 - Durieux P et al. 2008 "Computerized advice on drug dosage to improve prescribing practice."
Reference
Durieux P, Trinquart L, Colombet I, et al. Computerized advice on drug dosage to improve prescribing practice. Cochrane Database Syst Rev 2008;3.
Abstract
"Background: Maintaining therapeutic…