Privacy-sensitive health data are normally kept in well-protected datasets. Often, this prevents these date from being used for medical, research and data-analysis purposes. The Secur-e-Health project, in which TNO and VTT are collaborating, aims to integrate new approaches to digital ID technology and privacy-preserving analysis techniques into the healthcare system infrastructure.  Secur-e-Health enables medical institutions to securely analyse data together and share insights, without violating individuals’ privacy. When they are able to do this, it directly impacts the quality of predictive medical models, the efficiency of data-driven treatments and the speed of clinical research.