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    Research Grants in Clinical Informatics (R01 Clinical Trial Optional)

    The National Library of Medicine will soon fund innovative, scalable clinical informatics research to develop and evaluate tools that transform diverse health data into actionable knowledge for improved health care and outcomes.

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    Funder: National Institutes of Health

    Due Dates: November 5, 2026 (Renewal/Resubmission/Revision) | February 5, 2027 (New) | March 5, 2027 (Renewal/Resubmission/Revision) | June 5, 2027 (New) | July 5, 2027 (Renewal/Resubmission/Revision) | October 5, 2027 (New) | November 5, 2027 (Renewal/Resubmission/Revision) | February 5, 2028 (New) | March 5, 2028 (Renewal/Resubmission/Revision) | June 5, 2028 (New) | July 5, 2028 (Renewal/Resubmission/Revision) | October 5, 2028 (New) | November 5, 2028 (Renewal/Resubmission/Revision) | February 5, 2029 (New) | March 5, 2029 (Renewal/Resubmission/Revision; Final closing)

    Funding Amounts: Up to $250,000 annually in direct costs for up to 4 years; estimated program funding $2.5 million

    Summary: NLM supports innovative, generalizable clinical informatics methods and tools that transform health data into actionable knowledge.

    Key Information: Projects must produce open-access outputs; applications involving foreign subawards or subcontracts will not be funded.


    Description

    The National Library of Medicine (NLM), part of NIH, supports innovative clinical informatics research through this R01 program. It funds the design, implementation, and evaluation of tools and methods supporting data-driven discovery, evidence-based decisions, and personalized or precision health care. The emphasis is on domain-independent, scalable, reusable, and reproducible approaches to electronic health records, clinical notes, imaging, patient-generated data, and other health-related digital objects.

    Topics include clinical decision support, EHR usability and interoperability, predictive analytics, data integration, and AI methods that improve patient care or health-system workflows. Projects should transform heterogeneous data into usable knowledge, reduce clinician burden, and improve health outcomes. Tools must have applicability beyond a narrow disease or use case. Applications may include clinical trials, but trials are not required.


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