Connecting genetic information across healthcare to improve patient care
Empowering Interoperable Genomics-Enabled Learning Health Systems at Scale
This project will build systems so doctors can use patients' genetic information across hospitals and clinics to help people with cancer, heart conditions, and other health concerns.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Utah State Higher Education System--University of Utah NIH-funded |
| Lab location | 1 site (Salt Lake City, United States) |
| Project ID | NIH-11196190 on NIH RePORTER |
What this research studies
If you get care at participating clinics, this project aims to make your genetic test results and other genomic information usable by any treating clinician in the network. The University of Utah team will link EHR tools, a genetic cancer-risk detector, and a system that finds patients who might benefit from rapid whole genome sequencing. They will work with safety-net clinics to try to reduce health disparities and test these tools in real clinical settings. Over time the effort hopes to make genomic-driven care more routine and available to more patients.
Who could benefit from this research
Good fit: Ideal candidates are patients who receive care within the University of Utah system or its partner clinics, especially those with suspected genetic conditions, a family history of cancer, or unexplained cardiac problems.
Not a fit: People who receive care outside participating health systems or who have no reason for genetic testing are unlikely to see direct benefits from this project.
Why it matters
Potential benefit: If successful, this work could help identify genetic risks sooner and make genomic information available to clinicians across different health systems, leading to earlier diagnosis or more personalized care.
How similar studies have performed: Prior efforts to integrate genomics into clinical records (for example, eMERGE and other EHR-genomics projects) have shown promise, but scaling interoperable genomic systems across many sites remains a newer challenge.
Where this research is happening
Salt Lake City, United States
- Utah State Higher Education System--University of Utah — Salt Lake City, United States (Active)
Researchers
- Principal investigator: Kawamoto, Kensaku — Utah State Higher Education System--University of Utah
- Study coordinator: Kawamoto, Kensaku
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.