News Story 1 (January 2017):
A great media piece on our research on game theory and genomic privacy just came out. Read all about it!
News Story 2 (December 2016):
We had two papers accepted to the AAAI Spring Symposium on AI for Social Good in March 2017! Bo Li will be presenting "Sanitizing Large-Scale Medical Records Before Publishing", while Zhiyu Wan will be presenting "Game Theory Can Expand Access to Genomic Data While Promoting Privacy".
News Story 3 (November 2016):
We won Track 1 (Practcal Protection of Genomic Data Sharing Through Beacon Services) of the 2016 iDASH Privacy and Security Competition. Congratulations to Zhiyu Wan for leading the development of the solution! Learn more about it in this news story.
The Health Information Privacy Laboratory (HIPLAB) at Vanderbilt University was founded to address the growing needs for privacy technology research and development for the emerging health information technologies sector. The goal of the HIPLAB is to improve the protection of patients' privacy in health information systems. The HIPLAB is based in the Department of Biomedical Informatics, in the School of Medicine, and has relationships with various departments around the university and beyond.
The HIPLAB performs basic, as well as, applied research in a number of health-related areas, including primary care and secondary sharing of patient-specific data for research purposes. Projects in the HIPLAB are multi-faceted and draw upon methodologies in computer science, the biomedical sciences, and public policy.
We aim to improve the standard of healthcare and health information systems by developing technologies that enable trust.
- Department of Biomedical Informatics, Vanderbilt University
- Department of Electrical Engineering and Computer Science, Vanderbilt University
- Department of Biostatistics, Vanderbilt University
- Health Data Science Center, Vanderbilt University
- Genetic Privacy and Identity in Community Settings Center, Vanderbilt University
- Electronic Medical Records and Genomics Network, NIH sponsored
- The Mid-South Clinical Data Research Network, PCORI sponsored