Privacy preserving cross-organizational data analysis in the healthcare sector

Project description

Sensitive health data is often kept in silos in a way that cannot be efficiently leveraged for legitimate medical, research and data analysis purposes. The goal of the Secur‐e‐Health project is to integrate new approaches for digital ID technologies and privacy-preserving analysis techniques in a secure system infrastructure. The Secur-e-Health system allows medical institutions of all types to collaborate together and leverage data analyses and insights. This is expected to have a significant impact on the quality of the medical predictive models, the efficiency of data-driven treatments, the acceleration of new clinical research, and the improvement of healthcare in general.

Project leader

Marc Guilbert
Kelvin Zero, Canada
Project involvement Secur-e-Health
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Project publications