Improving privacy in sharing clinical data between laboratories
SOCAL: Privacy-protecting Sharing Of Clinical Data Across Laboratories
This study is working on new ways to keep your health information safe while still allowing doctors and researchers to share important data that can help improve your care and treatment.
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-11110075 on NIH RePORTER |
What this research studies
This research focuses on enhancing the privacy and security of personal health information when sharing clinical data across different healthcare institutions and laboratories. It aims to develop advanced technologies that work alongside new policies to address privacy concerns while enabling predictive analytics to improve patient care. By utilizing distributed methods to exchange predictive models instead of sensitive patient data, the project seeks to enhance the quality of clinical research and patient outcomes without compromising individual privacy.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals whose health data could contribute to predictive modeling for better clinical outcomes, particularly those with conditions requiring extensive data analysis.
Not a fit: Patients who do not have significant clinical data or whose conditions are not represented in the predictive models may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to safer and more effective sharing of clinical data, ultimately improving patient health outcomes.
How similar studies have performed: Previous research has shown promise in using distributed methods for data sharing while maintaining privacy, indicating that this approach could be effective.
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.