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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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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.
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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.
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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
Based on current listing details, 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. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates 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. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is June 16, 2026. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
Examining the Impact of Artificial Intelligence (AI) on Healthcare Safety (R18) is sponsored by U.S. Department of Health and Human Services (HHS), Agency for Healthcare Research and Quality (AHRQ). This funding opportunity invites grant applications to support healthcare safety by determining how breakthrough uses of AI systems affect patient safety and how AI systems can be safely implemented and used.
Examining the Impact of Artificial Intelligence (AI) on Healthcare Safety (R18) is sponsored by Agency for Healthcare Research and Quality (AHRQ), U.S. Department of Health and Human Services. This Notice of Funding Opportunity (NOFO) intends to support healthcare safety by determining whether and how certain breakthrough uses of AI systems can affect patient safety, and how AI systems can be safely implemented and used.
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.
Innovate UK's Sovereign AI Proof of Concept programme funds proof of concept demonstrators of AI technologies with state-of-the-art performance across five strategic themes: fundamental AI research, materials discovery, biosciences and health, defense and national security, and AI-aided chip/hardware design. Individual project grants range from £50,000 to £120,000 (approximately USD $63,500-$152,400) from a total allocation of at least £1.6 million. Projects must be 1-3 months in duration, starting by January 2026 and completing by March 2026. The programme supports feasibility studies and industrial research, with funding covering up to 70% of costs for micro/small businesses, 60% for medium, and 50% for large organizations. Literature review studies and projects unable to scale are excluded.