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digital.ahrq.gov/funding-mechanism/ahrq-health-services-research-projects-r01
January 01, 2023 - AHRQ Health Services Research Projects (R01)
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 provi…
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digital.ahrq.gov/health-care-theme/patient-education
January 01, 2023 - Patient Education
Examining the Feasibility and Effectiveness of an mHealth Solution Designed to Enhance Clinical Outcomes Among Patients Attending Physical Therapy for Musculoskeletal Pain
Description
This research examines whether remote therapeutic monitoring can improve ph…
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digital.ahrq.gov/national-webinars/medication-without-harm-how-digital-healthcare-tools-can-support-providers-and
July 24, 2024 - Medication Without Harm - How Digital Healthcare Tools Can Support Providers and Improve Patient Safety
Event Date:
July 24, 2024 | 2:30pm – 4:00pm ET
Event Materials:
Presentation Slides ( PDF , 8.39 MB). Q&As ( PDF , 135 KB).
Your browser does not support inline …
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digital.ahrq.gov/ahrq-funded-projects/use-electronic-personal-health-records-health-risk-reduction-discussion-tool/citation/uncovering
January 01, 2023 - Uncovering a role for electronic personal health records in reducing disparities in sexually transmitted infection rates among students at a predominantly African American university: mixed-methods study.
Citation
Jackman KM, Baral SD, Hightow-Weidman L, et al. Uncovering a role for electronic persona…
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digital.ahrq.gov/ahrq-funded-projects/development-and-assessment-artificial-intelligence-ai-enhanced-pretreatment
April 01, 2024 - Development and Assessment of Artificial Intelligence (AI)-Enhanced Pretreatment Peer-review Process to Improve Patient Safety in Radiation Oncology
Project Description
Implementing an artificial intelligence (AI)-driven pretreatment peer-review process for radiation therapy (R…
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digital.ahrq.gov/health-it-tools-and-resources/evaluation-resources/workflow-assessment-health-it-toolkit/all-workflow-tools/multivoting
January 01, 2023 - Multivoting
Description
Multivoting provides a means of reducing a large list of options to a smaller list of the best options or top priorities. It can also reduce a list to one single selection. The method can allow an idea that is liked by all members of a group to rise to the top of the list, even…
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digital.ahrq.gov/organization/massachusetts-general-hospital
January 01, 2023 - Massachusetts General Hospital
Identifying Sepsis Phenotypes Associated with Antibiotic-Resistant Pathogens Using Large Language Models and Machine Learning
Description
This research uses large language models and machine learning to retrospectively analyze electronic health …
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digital.ahrq.gov/type-care/pediatrics
January 01, 2023 - Pediatrics
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 acces…
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digital.ahrq.gov/health-care-theme/mobile-health
January 01, 2023 - Mobile Health
Examining the Feasibility and Effectiveness of an mHealth Solution Designed to Enhance Clinical Outcomes Among Patients Attending Physical Therapy for Musculoskeletal Pain
Description
This research examines whether remote therapeutic monitoring can improve physic…
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digital.ahrq.gov/ahrq-funded-projects/mhealth-delivery-motivational-intervention-address-heavy-drinking-among-college
January 01, 2023 - mHealth Delivery of a Motivational Intervention to Address Heavy Drinking Among College Students
Project Final Report ( PDF , 279.84 KB) Disclaimer
Disclaimer
The findings and conclusions in this document are those of the author(s), who are responsible for its content, and do…
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digital.ahrq.gov/2018-year-review/research-dissemination/journals
January 01, 2018 - AHRQ-Funded Researchers Disseminate in High-Impact Journals
In 2018, AHRQ-funded researchers published over 100 research articles in peer-reviewed journals and book chapters, including the following:
Development and Dissemination of a Novel Quality Improvement Framework to Improve Care…
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digital.ahrq.gov/sites/default/files/docs/citation/09-10-0091-1-EF.pdf
October 01, 2009 - These roles include:
• Memory aid: Reduces the need to rely on memory alone for information required … • Computational aid: Reduces the need to mentally group, compare, or analyze
information. … Actively managing the
“healthy” patient population through preventative and health promotion activities reduces … Actively managing
the “healthy” patient population through preventative and health promotion activities reduces
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digital.ahrq.gov/health-it-tools-and-resources/implementation-toolsets-e-prescribing/toolset-e-prescribing/tool-31a-goals-worksheet
January 01, 2023 - Tool 3.1a: Goals Worksheet
Step 1. Review goals
Review what goals can be achieved with e prescribing. Here are some examples:
Reduce medication errors.
Reduce the time spent on phone calls, faxing, and call-backs to pharmacies.
Automate prescription renewal requests and authorizati…
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digital.ahrq.gov/principal-investigator/arora-vineet
January 01, 2024 - Arora, Vineet
Real-world use of inhaled COPD medications: The good, the bad, the ugly.
Citation
Press VG. Real-world use of inhaled COPD medications: The good, the bad, the ugly. Chronic Obstr Pulm Dis. 2024 Jul 25;11(4):331-340. doi: 10.15326/jcopdf.2024.0546. PMID: 39054287;…
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digital.ahrq.gov/principal-investigator/press-valerie-g
January 01, 2024 - Press, Valerie G.
Real-world use of inhaled COPD medications: The good, the bad, the ugly.
Citation
Press VG. Real-world use of inhaled COPD medications: The good, the bad, the ugly. Chronic Obstr Pulm Dis. 2024 Jul 25;11(4):331-340. doi: 10.15326/jcopdf.2024.0546. PMID: 39054…
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digital.ahrq.gov/ahrq-funded-projects/identifying-sepsis-phenotypes-associated-antibiotic-resistant-pathogens-using
January 01, 2025 - Identifying Sepsis Phenotypes Associated with Antibiotic-Resistant Pathogens Using Large Language Models and Machine Learning
Project Description
Publications
Identifying when broad-spectrum antibiotics can be safely avoided in suspected sepsis has the potential to impro…
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digital.ahrq.gov/ahrq-funded-projects/machine-learning-validation-medication-regimen-complexity-critical-care
March 31, 2025 - Machine Learning Validation of Medication Regimen Complexity for Critical Care Pharmacist Resource Prediction
Project Description
Publications
Research Story
Creating a visualization tool that applies innovative machine learning prediction methods may improve health…
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digital.ahrq.gov/ahrq-funded-projects/artificial-intelligence-based-health-it-tools-optimize-critical-care
January 01, 2025 - Artificial Intelligence-Based Health Information Technology Tools to Optimize Critical Care Pharmacist Resources Through Adverse Drug Event Prediction
Project Description
Publications
Research Story
Developing artificial intelligence-based health information technol…
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digital.ahrq.gov/location/usa-il-chicago
January 01, 2023 - USA, IL, Chicago
A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention Among Hospitalized Patients
Description
This research will develop, train, test, and evaluate a machine learning classifier to identify risk for HIV acquis…
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digital.ahrq.gov/health-care-theme/care-planning
January 01, 2023 - Care Planning
Cloud Care: A Feasibility Study of Cloud-Based Care Plans for Children With Medical Complexity
Description
This research evaluated Cloud Care, a cloud-based longitudinal multidisciplinary care plan for children with medical complexity and found that perceived eas…