Health Data and AI

New · Joint EASAC–FEAM report · Published 30 September 2026

AI in European Healthcare: Policy Recommendations for Optimising Added Value and Safe, Ethical, and Inclusive Adoption

FEAM and the European Academies’ Science Advisory Council (EASAC) set out how AI-enabled health products and services can be evaluated, deployed and governed so that they deliver real benefit to patients and health systems across Europe.

Cover of the EASAC–FEAM report AI in European Healthcare

Health data for research

FEAM has worked with other network Academies such as EASAC to provide evidence on the value of research and the need for collaborative activity to optimize the use of health research data, for instance in previous discussions with the European Commission and Parliament (“Protecting health and scientific research in the Data Protection Regulation”).

FEAM has also collaborated with numerous health stakeholders to issue recommendations in view of the discussions preceding the GDPR, for instance, within the joint statement “Ensuring a healthy future for scientific research through the Data Protection Regulation”.

International Transfer of Health Data for research

FEAM worked on a joint project to explore challenges and opportunities related to sharing health data outside of the European Economic Area (EEA). More about this first tripartite collaboration between FEAM, EASAC, and ALLEA is available here.

On the same issue, the FEAM European Biomedical Policy Forum organised a cross-sectoral round-table discussion. The outcome of this debate informed the joint project by FEAM, EASAC and ALLEA and its final report. More information on this Forum event is available here.

Artificial Intelligence

In September 2026, FEAM and EASAC published the joint report AI in European Healthcare: Policy Recommendations for Optimising Added Value and Safe, Ethical, and Inclusive Adoption. The report examines the risks that come with rapid adoption, including data breaches, algorithmic bias, loss of human control and dependence on individual technology providers. It is intended to inform implementation of the EU AI Act and the European Health Data Space, as well as forthcoming EU initiatives on AI in healthcare.

It sets out ten recommendations and makes three calls to policymakers: be proactive, not reactive; put equity and trust at the centre; and coordinate European action.

The FEAM Biomedical Forum organised its 2019 annual lecture to discuss AI and healthcare in Europe. More information on this event, including a summary report, is available here.

For all past publications and activities on health data, digital health and AI, and more, see publications and events below.

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