Digital Europe Programme strengthens AI, health data, and modelling capacities across the EU
The European Commission has announced an amendment to the Digital Europe Work Programme 2025–2027, reinforcing Europe’s commitment to advancing strategic digital capacities and responding to evolving technological priorities.
The is the second update to the Digital Europe Work Programme 2025–2027 design to ensure that EU resources continue to support the EC ambitions in the development and implementation of critical technologies in Europe.
The updated programme introduces new actions and funding priorities aimed at accelerating the deployment of cutting-edge technologies, including artificial intelligence (AI), digital infrastructure, and cybersecurity. It also ensures continued investment in key areas such as high-performance computing, advanced digital skills, and the broader adoption of digital technologies across sectors.
Stronger focus on digital health and medical data infrastructures
Of particular relevance to for our community, the amendment includes further support for the European Electronic Health Record Exchange Format (EEHRxF) and the deployment of digital health services across Europe.
This development is a crucial step toward enabling interoperable, cross-border health data sharing, which underpins modern biomedical research, personalised medicine, and large-scale population health studies. Improved access to harmonised health data will also enhance the ability to build and validate computational models for disease progression, treatment outcomes, and health system performance.
Expanding AI testing and experimentation facilities
The programme also reinforces the rollout of Testing and Experimentation Facilities (TEFs) for AI, including applications in health.
These facilities provide researchers, SMEs, and public institutions with access to advanced infrastructure to test AI solutions in real-world environments. In the medical and modelling domains, this translates into greater capacity to develop and validate:
- AI-driven diagnostic tools
- Predictive models for disease prevention and management
- Simulation frameworks for clinical decision support
Such infrastructures are essential for bridging the gap between research and clinical implementation, ensuring that innovative models are robust, reliable, and ethically deployed.
Find more information about the Digital Europe Programme and its work programmes.
