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OpenR01Clinical trial: Optional / allowed

Research Grants in Clinical Informatics (R01 Clinical Trial Optional)

National Institutes of Health (NIH) · NIH Institute/Center · PAR-26-042

Source: Grants.gov · View original posting ↗

Award
Up to $250K
Deadline
Mar 5, 2029
Letter of intent
Mechanism
R01
Duration
Expected awards
10
Funding cycle
Standard NIH dates
Open date
Feb 11, 2026
Total funding
$2.5M total
Clinical trial
Optional / allowed
Established investigatorHigher educationGovernmentNonprofitSmall businessForeign entities

Funding context

16%of applications funded

Based on FY2024 NIH (all institutes) R01 applications (5,385 of 33,139 applications awarded).

Institute-specific data wasn’t available — showing the NIH-wide rate for this mechanism.

Payline: NIH discontinued percentile paylines for 2026 under its Unified Funding Strategy ↗ — scores are now weighed in context rather than against a fixed cutoff.

NIH-wide R01, all institutes.

Aggregate historical data by institute, mechanism, and fiscal year — context for planning, not a prediction for this opportunity. Source ↗

Research areas

Biomarkers & diagnosticsData & infrastructure

Auto-classified from the title and description (keyword-based) — may be imperfect.

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.

Data notes: administering NIH institute could not be identified from the opportunity number.