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"Digital Healthcare Solutions (R21/R33)" is currently closed and not accepting applications.
Digital Healthcare Solutions (R21/R33) is sponsored by AHRQ. This program provides funding for exploratory research (R21 phase) and subsequent expansion (R33 phase) in digital healthcare solutions.
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Using Innovative Digital Healthcare Solutions to Improve Quality at the Point of Care (R21/R33 - Clinical Trial Optional) | Digital Healthcare Research Using Innovative Digital Healthcare Solutions to Improve Quality at the Point of Care (R21/R33 - Clinical Trial Optional) Examining the Feasibility and Effectiveness of an mHealth Solution Designed to Enhance Clinical Outcomes Among Patients Attending Physical Therapy for Musculoskeletal Pain This research examines whether remote therapeutic monitoring can improve physical therapy outcomes by increasing patient engagement, adherence to home exercises, and communication with providers, while also assessing its impact on healthcare costs and feasibility for broader implementation.
Principal Investigator(s) ML-ROVER: Machine Learning to Reduce Laboratory Test Overutilization The study will develop, validate, implement, and assess the usability of a machine learning based clinical decision support tool designed to reduce laboratory testing overutilization in pediatric intensive care unit patients.
Principal Investigator(s) Improving Pediatric Donor Heart Utilization with Predictive Analytics This study aims to optimize the use of donor hearts for infants and children awaiting heart transplantation by developing predictive models to assess in real-time the potential for transplant success and to evaluate risk.
Researchers plan to display these data through intuitive visualizations on a custom-built interface to reduce clinicians’ cognitive burden, enhance decision making confidence, and help ensure the best donor match for pediatric patients.
Principal Investigator(s) An AI-Directed CDS Tool to Reduce Iron Deficiency Anemia in Pregnancy: A Randomized Controlled Trial (AID-IDA Trial) This study will develop and establish the efficacy of an actionable predictive model to identify pregnant individuals at high risk for postpartum hemorrhage which can be used in combination with a clinical decision support tool to reduce the risk of hemorrhage-related morbidity and improve maternal health outcomes.
Principal Investigator(s) Using Large Language Models to Identify Social Determinants of Health to Enhance Healthcare Services and Equity This research explores using natural language processing and generative AI to capture and structure social determinants of health from patient narratives, aiming to improve data completeness and quality, enhance clinical decision support, and reduce the manual burden on clinical staff in routine care.
Principal Investigator(s) Improving Identification And Coordination Of Mobility Interventions In The ICU Using Clinical Decision Support The study will develop and test a vendor-compatible clinical decision support system to support intensive care unit nurses and physical therapists at the point of care in the timely identification of patients suitable for activity interventions and the creation of personalized activity plans.
Principal Investigator(s) LabGenie: A Patient-Engagement Tool to Aid Older Adults' Understanding of Lab Test Results The study will create, implement, and test a patient-centric web app to support older adults with chronic conditions in comprehending, managing, and acting upon their lab test results.
Principal Investigator(s) An Age-Friendly Learning Healthcare System: A Transformative Digital Solution for Geriatrics Clinics The study will create and implement digital tools using the SMART on FHIR framework to support Age-Friendly care in clinical practice and institutional decision-making.
Principal Investigator(s) Empower NICU - A Bridge to Resources for Adjusting and Coping with Emotions (EmBRACE) 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 health application designed to screen and monitor psychological symptoms in parents of infants hospitalized in the neonatal intensive care unit, identify those at risk, and connect parents with services, information, support, and resources.
Principal Investigator(s) Digital EMS Point-of-Care Innovation to Improve Rural STEMI Outcomes 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 services providers, reducing the time between first medical contact and reperfusion therapy to reduce morbidity and mortality, and improve health outcomes.
Principal Investigator(s) Research Themes and Findings Research Themes and Findings DHR 20th Anniversary Blog Series DHR 20th Anniversary Timeline Milestones and Achievements AHRQ Digital Healthcare Research Publications Database Patient-Generated Health Data I Patient-Reported Outcomes Guide to Integrate Patient-Generated Digital Health Data into Electronic Health Records in Ambulatory Care Settings Clinical Decision Support (CDS) CDS Innovation Collaborative (CDSiC) Resource Library Health IT Survey Compendium Time and Motion Studies Database Implementation Toolsets for E-Prescribing Implementation in Independent Pharmacies Implementation in Physician Offices Children's Electronic Health Record (EHR) Format Archived Tools & Resources Digital Healthcare Research Home Digital Healthcare Research Home Digital Healthcare Research Home
According to the current listing, eligibility includes: Eligible applicants would typically include academic institutions, research organizations, and other entities involved in health research. Confirm the full requirements in the official notice before applying.
The current listing shows up to $275,000 (R21) and up to $1 million (R33). Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was August 1, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
Digital Healthcare Solutions (R21/R33) is funded by AHRQ. Verify program details on the funder's official page before applying.
Yes — this listing is flagged as national in scope, so applicants across the U.S. may apply, subject to the sponsor's other eligibility criteria.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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