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AHRQ's PA-24-266 funds phased innovation research testing promising digital healthcare interventions at the point of care to improve quality of healthcare delivery. The R21 phase supports initial developmental activities for up to 2 years, and the R33 phase provides expanded support for up to 3 years.
Projects accelerate integration of technology into real-world healthcare settings, including AI-based decision support, smart clinical workflows, data-driven care models, and digital health tools. The program empowers researchers, providers, and innovators to improve patient outcomes through innovative digital 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: US-based research institutions, universities, and healthcare organizations. Standard NIH eligibility requirements apply. Applications follow standard dates of February 16, June 16, and October 16. Confirm the full requirements in the official notice before applying.
The current listing shows R21 exploratory phase: up to $275,000 in direct costs over 2 years. R33 expansion phase: up to $1,000,000 in direct costs over 3 years. Transition to R33 not guaranteed. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was June 16, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
AHRQ Digital Healthcare Solutions for Quality at Point of Care R21/R33 is funded by Agency for Healthcare Research and Quality. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
The Department of Defense FY2026 Defense University Research Instrumentation Program (DURIP) provides funding for U.S. universities to acquire research equipment and instrumentation in areas important to national defense, including AI and machine learning hardware. The program is administered jointly by the Army Research Office (ARO), Office of Naval Research (ONR), and Air Force Office of Scientific Research (AFOSR), with approximately $34 million available and 95 awards anticipated. DURIP funds the acquisition of specialized computing hardware for AI/ML research (GPU clusters, TPUs, neuromorphic processors), robotics and autonomous systems testbeds, sensor arrays and data collection systems for machine learning training, high-performance computing infrastructure for defense-relevant AI research, and laboratory equipment for human-AI interaction studies. The program specifically supports equipment that enhances research-related education in DoD-priority disciplines. While general-purpose computing is not eligible, computing equipment directly supporting DoD-relevant AI research programs qualifies. No cost sharing is required.
Vinnova, Sweden's national innovation agency, funds projects developing applied AI solutions for Swedish industry through its Advanced Digitalization Programme. Each project can apply for between 2 and 10 million SEK (approximately $190,000 to $950,000 USD) covering up to 50% of eligible project costs. The total call budget is 60 million SEK. Projects run for 12-24 months and focus on two key areas: Intelligent Edge (AI for real-time application in the sensor chain) and AI-based decision support. All projects must address industrial needs and integrate gender equality and climate change perspectives. Scientific publications must be open access. A parallel call also funds AI and cybersecurity projects at 1-10 million SEK per project with a 50 million SEK total budget.
USDA's FY2026 GusNIP Produce Prescription Program will make roughly 12 awards of up to $500,000 over three years — with no matching requirement — to nonprofits and government agencies that partner with healthcare providers to prescribe fresh fruits and vegetables. Here is who is eligible, why the mandatory clinical partner is the whole game, how the evidence base got strong enough to matter, and how to build a July 16 application.
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