Identification of high-risk heart failure patients without compromising privacy

Identification-of-high-risk-heart-failure-patients-without-compromising-privacy

Identification of high-risk heart failure patients without compromising privacy

3 July, 2020

The use of data is essential for better, personalized health care. But personal data cannot simply be shared. This is a dilemma: on the one hand using as much data as possible for new insights and on the other hand data minimization for GDPR compliance.

In July 2020, in collaboration with Erasmus MC, Zilveren Kruis and ZorgTTP, TNO demonstrated that it is possible to securely link and analyze personal data from multiple organizations. By using state-of-the-art cryptography, a pilot with synthetic data demonstrated that these types of solutions work in practice. Insurance data can be combined with hospital data in the future to make better predictions about diseases and conditions, such as for heart failure. And those predictions can be used by doctors for personalized health care interventions.

Learn how it works through this blog.

This work takes place within the context of the Heart Failure pilot in BigMedilytics.