NIH-funded research R01 grant

Improving privacy in sharing clinical data between laboratories

Official title: SOCAL: Privacy-protecting Sharing Of Clinical Data Across Laboratories

Funded at Yale University · NIH-11110075 · Data updated 2026-11-12

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 typeR01 grant
Study typeNIH-funded research
Funding institutionYale University
NIH-funded
Lab location1 site (New Haven, United States)
Project startJuly 1, 2024
Project endJune 30, 2026
Funding year2024
Award (this year)$343,314
NIH project number7R01EB031030-03
Project IDNIH-11110075 on NIH RePORTER

Who could benefit from this research

Could help

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.

Less likely to help

Patients who do not have significant clinical data or whose conditions are not represented in the predictive models may not benefit from this research.

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.

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 gone: 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

  • Yale University
    New Haven, United States
    Active

Researchers

  • Principal investigator: Kuo, Tsung-Ting — Yale University
  • Study coordinator: Kuo, Tsung-Ting

Related research

Other NIH-funded projects on the same topics.

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
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Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.