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digital.ahrq.gov/ahrq-funded-projects/implementing-personalized-cross-sector-transitional-care-management-promote/citation/ambulatory
January 01, 2024 - Ambulatory care coordination data gathering and use.
Citation
Geary CR, Hook M, Popejoy L, Smith E, Pasek L, Heermann Langford L, Hewner S. Ambulatory care coordination data gathering and use. Comput Inform Nurs. 2024 Jan 1;42(1):63-70. doi: 10.1097/CIN.0000000000001069. PMID: 37748014.
Link
h…
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digital.ahrq.gov/sites/default/files/docs/page/medication-turnaround-time-quick-reference-guide.pdf
August 05, 2025 - handwriting; (3) more complete because
of required fields; and/or (4) more legible to the
pharmacist, reducing
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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…
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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…
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digital.ahrq.gov/sites/default/files/docs/workflowtoolkit/MGMA_IT_Assessment_Part_II.pdf
June 01, 2003 - technology consultant can help your practice
improve service to patients while increasing productivity
and reducing
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digital.ahrq.gov/sites/default/files/docs/page/prescribing-patterns-of-preferred-or-formulary-medications-quick-reference-guide.pdf
April 01, 2009 - may end up
prescribing the nonpreferred drug from the
perspective of the insurer, inadvertently
reducing
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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…
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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…
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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…
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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…
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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…
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digital.ahrq.gov/location/usa-ny-amherst
January 01, 2023 - USA, NY, Amherst
Implementing Personalized Cross-Sector Transitional Care Management to Promote Care Continuity, Reduce Low-Value Utilization, and Reduce the Burden of Treatment for High-Need, High-Cost Patients
Description
This research will integrate cross-sector care alerts…
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digital.ahrq.gov/ahrq-funded-projects/care-transitions-app-patients-multiple-chronic-conditions
January 01, 2023 - Care Transitions App for Patients with Multiple Chronic Conditions
Project Description
Research Story
A patient-facing mobile health application simplifying the information patients and caregivers receive has the potential to better engage patients and families in their h…
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digital.ahrq.gov/program-overview/research-stories/supporting-health-systems-advancing-care-delivery
January 01, 2023 - Supporting Health Systems in Advancing Care Delivery
2023 Research Stories
Advancing Public Health with Interoperable Data Exchange Facilitating data exchange between public health and clinical care information systems leads to efficiencies in vaccination data access an…
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digital.ahrq.gov/2020-year-review/research-dissemination/ahrq-funded-researchers-disseminate-findings-high-impact-journals
January 01, 2020 - AHRQ-Funded Researchers Disseminate Findings in High-Impact Journals
In 2020, AHRQ-funded researchers published over 100 research articles in peer-reviewed journals and book chapters, including the following:
Displaying Patient Photos in Electronic Health Records Reduces Hospital O…
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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…
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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…
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digital.ahrq.gov/ahrq-funded-projects/implementing-personalized-cross-sector-transitional-care-management-promote/citation/role
January 01, 2023 - The role of telehealth and clinical informatics in data driven primary care redesign.
Citation
Brown JL, Hewner S. The role of telehealth and clinical informatics in data driven primary care redesign. J Inform Nurs. 2022;6(4):jin_21N4_A3. PMID: 35733915; PMCID: PMC9211055.
Link
https://pubmed.…
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digital.ahrq.gov/standards-0
January 01, 2023 - team to work on the Unified Medical Language System (UMLS), a collaborative research project aimed at reducing
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digital.ahrq.gov/principal-investigator/singh-hardeep
January 01, 2023 - Singh, Hardeep
Barriers and facilitators impacting reliability of the electronic health record-facilitated total testing process.
Citation
Murphy DR, Satterly T, Rogith D, Sittig DF, Singh H. Barriers and facilitators impacting reliability of the electronic health record-facil…