Securely Sharing Patient Data Across Healthcare Centers
SOCAL: Privacy-protecting Sharing Of Clinical Data Across Laboratories
This project creates new ways to share important patient information safely and privately among different healthcare centers to improve our understanding of diseases like COVID-19.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project ID | NIH-11140379 on NIH RePORTER |
What this research studies
We know that keeping your personal health information private is very important, especially when it comes to medical research. This project develops advanced technologies that work with privacy rules to allow healthcare centers to share clinical data without risking your identity. By securely combining large amounts of patient data from many places, researchers can build better predictive models and discover more about how medications affect diseases. This helps us learn more effectively from past patient experiences while protecting your privacy.
Who could benefit from this research
Good fit: This project is relevant to patients whose clinical data could contribute to a larger, secure dataset for research, particularly those with conditions like COVID-19.
Not a fit: Patients who do not have clinical data that would be part of these shared datasets, or who are not affected by the diseases being studied, may not directly benefit from this specific data-sharing technology.
Why it matters
Potential benefit: If successful, this work could accelerate medical discoveries and improve treatments for conditions like COVID-19 by enabling researchers to use more comprehensive patient data securely.
How similar studies have performed: Prior efforts have explored distributed methods for sharing predictive models, but this project aims to overcome existing challenges to achieve more comprehensive and generalizable insights from cross-institutional data.
Where this research is happening
New Haven, United States
- Yale University — New Haven, United States (Active)
Researchers
- Principal investigator: Kuo, Tsung-Ting — Yale University
- Study coordinator: Kuo, Tsung-Ting
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.