CHILDREN'S HOSPITAL CORPORATION, THE
Total received in grants · trailing 12 months
$3.4M
$0for every U.S. household÷ 131M U.S. households
In perspective
0.0%of all $162.9B in tracked grants
1separate grants, trailing 12 months
CHILDREN'S HOSPITAL CORPORATION, THE has received $3.4M across 1 federal grant of $1M or more on record.
Data as of July 24, 2026. Source: USAspending.gov, prime contract awards $1M+. Federal spending data lags and has known gaps. This is not a real-time or complete record.
Grants by agency
Where this recipient’s grant dollars come from.
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| Agency | Description | Amount |
|---|---|---|
| Department of Health and Human Services | TRANSFORMING CLINICAL TRIAL RECRUITMENT: AI-DRIVEN FEDERATED CLINICAL AND GENOMIC MATCHING WITH GIC-RECRUIT - PROJECT SUMMARY TO FULLY HARNESS THE HUMAN GENOME PROJECT, WE MUST COMPUTATIONALLY TRANSLATE GENETIC AND PHENOTYPIC CLINICAL TRIAL RECRUITMENT CRITERIA INTO ACTIONABLE SEARCHES ACROSS HEALTH SYSTEMS TO IDENTIFY INDIVIDUALS FOR TARGETED THERAPIES AND PRECISION MEDICINE STUDIES. GIC-RECRUIT LEVERAGES A FEDERATED NETWORK OF CHILDREN’S HOSPITALS WITH LARGE COHORTS OF BROADLY CONSENTED INDIVIDUALS AND THEIR INTEGRATED GENOMIC AND CLINICAL DATA, ENABLING EFFICIENT, SCALABLE PATIENT-TRIAL MATCHING. IDENTIFYING PARTICIPANTS FOR GENOMICALLY INFORMED RARE AND COMMON DISEASE TRIALS, REMAINS CHALLENGING DUE TO FRAGMENTED HEALTH DATA, VARIABILITY IN PHENOTYPIC EXPRESSION, AND THE NEED TO INTEGRATE BOTH STRUCTURED AND UNSTRUCTURED CLINICAL DATA WITH GENOMIC INFORMATION. GENOMIC ELIGIBILITY FOR CLINICAL TRIALS IS OFTEN COMPLEX, REQUIRING SEARCHES ACROSS DIVERSE DATA TYPES, INCLUDING EHRS, CLINICAL NOTES, AND GENOMIC VARIANT DATABASES, TO ACCURATELY MATCH PATIENTS. THIS PROJECT APPLIES AI-DRIVEN METHODS TO TRANSFORM TRIAL ELIGIBILITY CRITERIA INTO COMPUTABLE QUERIES, ENABLING REAL-TIME, NETWORK-WIDE SEARCHES THAT UNIFY STRUCTURED AND UNSTRUCTURED DATA ACROSS INSTITUTIONS. THE UG3 PHASE WILL DEVELOP AND VALIDATE COMPUTATIONAL TOOLS TO EXECUTE THESE SEARCHES AT A SINGLE INSTITUTION, ENSURING INTEROPERABILITY ACROSS DIFFERENT EHR SYSTEMS, REFINING WORKFLOWS FOR REALTIME PATIENT IDENTIFICATION, AND DEMONSTRATING FEASIBILITY FOR MULTI-SITE EXPANSION. THE UH3 PHASE WILL EXPAND THIS FRAMEWORK ACROSS MULTIPLE INSTITUTIONS, DEMONSTRATING ITS SCALABILITY, SUSTAINABILITY, AND GENERALIZABILITY WITHIN THE BROADER CLINICAL RESEARCH ECOSYSTEM. BY ENABLING AUTOMATED, SCALABLE, AND PRIVACY-CONSCIOUS RECRUITMENT STRATEGIES, THIS INITIATIVE WILL ENHANCE THE EFFICIENCY OF TRIAL ACCRUAL, IMPROVE PARTICIPATION IN CLINICAL STUDIES, AND SUPPORT THE BROADER IMPLEMENTATION OF PRECISION MEDICINE. THIS PROJECT WILL ESTABLISH A REPLICABLE MODEL FOR USING GENOMIC AND CLINICAL DATA AT SCALE TO ACCELERATE TARGETED THERAPY DEVELOPMENT, STREAMLINE RECRUITMENT EFFORTS, AND ENSURE THAT ADVANCES IN GENOMIC MEDICINE TRANSLATE INTO MEANINGFUL CLINICAL IMPACT. ULTIMATELY, THIS WORK WILL HELP BRIDGE THE GAP BETWEEN GENOMIC DISCOVERY AND CLINICAL IMPLEMENTATION BY OPTIMIZING RECRUITMENT PATHWAYS THAT BRING THE RIGHT PATIENTS TO THE RIGHT TRIALS FASTER AND MORE EFFICIENTLY. | $3,380,975 |