Research Grants in Clinical Informatics (R01 Clinical Trial Optional)
National Institutes of Health
Award ceiling
—Award floor
—Posted
Feb 11, 2026Closes
Mar 5, 2029Location eligibility
No specific state restriction found in this listing — check the full opportunity for details.Categories: Health
Eligible applicants: Native American tribal organizations (other than Federally recognized tribal governments), Others (see text field entitled "Additional Information on Eligibility" for clarification), Native American tribal governments (Federally recognized), Public and State controlled institutions of higher education, Public housing authorities/Indian housing authorities, For profit organizations other than small businesses, County governments, Small businesses, Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education, City or township governments, Independent school districts, Private institutions of higher education, Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education, State governments, Special district governments
Description
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.