EHDS addresses two different dimensions. The first concerns primary health data – data generated in the context of diagnosing and treating patients. The goal is to ensure that healthcare systems can finally communicate with each other and that patients can easily access their medical records. Ideally, a patient should not have to repeatedly explain their medical history when moving between hospitals. A doctor abroad should quickly access essential medical documentation if a patient seeks treatment while travelling. And countries should finally use compatible data standards – something that often does not even work within a single city today.
The second dimension concerns the secondary use of health data for research, innovation and policymaking. Here, EHDS could represent a major shift for researchers. At the European level, a catalogue of datasets suitable for secondary use will be created. Access to these datasets will be transparent and standardized across the EU, with predictable timelines and predefined fees for preparing requested datasets.
It will always be possible to see who requested which data and for what purpose. If pseudonymized individual-level data are required, they will not be sent directly to researchers. Instead, they will be processed in Secure Processing Environments, where only aggregated, privacy-safe outputs can be exported. If aggregated statistical data are sufficient, researchers will receive them directly.
In my view, this is a promising alternative to the current situation where data are sometimes exchanged via email or where each hospital shares data in a different way. Research teams then spend a lot of time cleaning and restructuring the data before they can use them. EHDS aims to introduce standards that have already been common in research environments for years – but now applied to primary healthcare data.
Yes, absolutely. Until now, data sharing was often based on personal contacts, different technical solutions and mutual trust between the researcher and the data holder. Data sharing agreements were typically negotiated individually for each project. EHDS introduces standardised rules, transparency and clear documentation of data use. Importantly, it should also make it possible to request multiple datasets from different countries through a single application. Researchers who already have established collaborations can still use existing channels. But for those without personal networks or established partnerships, the EHDS infrastructure will provide a completely new opportunity.
At the same time, the understanding of data security is evolving. Previously, it was widely assumed that anonymizing data solved the problem. But modern technologies – especially AI – can sometimes re-identify individuals by combining indirect indicators from different datasets.
Within the Open Science II project, where I lead an expert team working on sensitive data management within the National Data Infrastructure, we are testing how robust anonymization techniques are and how to establish rules that ensure real anonymity.