Research Grants in Clinical Informatics (R01 Clinical Trial Optional)

The National Library of Medicine (NLM) seeks applications for innovative research in clinical informatics. The overarching goal of this forthcoming program is to catalyze the development and advancement of novel informatics methodologies that empower clinicians, patients, and the broader public to better understand, manage, and improve health and health care delivery. This NOFO will support research focused on the design, implementation, and evaluation of clinical informatics tools and methods that enable data-driven discovery, promote evidence-based decision-making, and support personalized and precision health care. Emphasis will be placed on domain-independent, scalable, and reusable/reproducible approaches for the discovery, analysis, organization, and management of health-related digital objects—including electronic health records (EHRs), clinical notes, imaging data, and patient-generated data. The aim is to transform raw and heterogeneous health data into actionable knowledge, to develop innovative tools, and to implement practical applications that can be generalized across multiple clinical settings and populations. Projects should demonstrate the potential to accelerate scientific insights, improve clinical workflows, and ultimately lead to improved health outcomes.

Details

• Agency: National Institutes of Health
• Department: Department of Health and Human Services
• Opportunity #: PAR-26-042
• Total Funding: $2,500,000
• Expected Awards: 10
• Instrument: grant

Eligibility

Refer to Section III. Eligibility Information in the NOFO for additional information on eligibility.Foreign Organizations/International CollaborationsNon-domestic (non-U.S.) Entities (Foreign Organizations) are eligible to apply.Non-domestic (non-U.S.) components of U.S. Organizations are eligible to apply.Foreign components, as defined in the NIH Grants Policy Statement, are allowed.NIH will no longer issue awards (i.e., new, renewal, or non-competing continuation) to domestic or foreign entities that involve foreign subawards/subcontracts. All NIH-funded research involving foreign subawards/subcontracts must be submitted in response to a NOFO that is specifically designated for funded international collaborations. This new requirement was effective, May 1, 2025.Applications involving foreign subawards/subcontracts submitted in response to this NOFO will be deemed noncompliant and will not be considered for funding. This policy applies to all monetary international collaborations resu

Department of Health and Human Services

Part 1. Overview Information

Participating Organization(s)

National Institutes of Health (NIH)

Components of Participating Organizations

National Library of Medicine (NLM)

Funding Opportunity Title

Research Grants in Clinical Informatics (R01 Clinical Trial Optional)

Activity Code

R01 Research Project Grant

Announcement Type

New

Related Notices

• Check for any recent Notices of NIH Policy Changes that may impact application requirements.

Funding Opportunity Number (FON)

PAR-26-042

Companion Funding Opportunity

None

Number of Applications

See Part 2, Section III. 3. Additional Information on Eligibility.

Assistance Listing Number(s)

93.879

Funding Opportunity Purpose

The National Library of Medicine (NLM) seeks applications for innovative research in clinical informatics. The overarching goal of this forthcoming program is to catalyze the development and advancement of novel informatics methodologies that empower clinicians, patients, and the broader public to better understand, manage, and improve health and health care delivery. This NOFO will support research focused on the design, implementation, and evaluation of clinical informatics tools and methods that enable data-driven discovery, promote evidence-based decision-making, and support personalized and precision health care. Emphasis will be placed on domain-independent, scalable, and reusable/reproducible approaches for the discovery, analysis, organization, and management of health-related digital objects—including electronic health records (EHRs), clinical notes, imaging data, and patient-generated data. The aim is to transform raw and heterogeneous health data into actionable knowledge, to develop innovative tools, and to implement practical applications that can be generalized across multiple clinical settings and populations.