FAIR4Health focused on FAIR data and interoperability for health research; HosmartAI applied these principles in hospital AI systems.
ASSOCIATION EUROPEAN FEDERATION FORMEDICAL INFORMATICS
Pan-European federation advancing health informatics standards, FAIR data, and AI adoption in healthcare through professional community expertise.
Their core work
The European Federation for Medical Informatics (EFMI) is a professional association that unites national medical informatics societies across Europe to advance health data standards, interoperability, and digital health practices. In H2020 projects, EFMI contributes domain expertise in health informatics governance, FAIR data principles for health research, and the application of AI in hospital settings. Their role is typically that of a standards and policy body — ensuring that technical solutions align with broader health informatics frameworks and professional community needs. They bring a pan-European perspective on e-health services and distributed health data management.
What they specialise in
FAIR4Health directly addressed improving health research through FAIR (Findable, Accessible, Interoperable, Reusable) data practices.
HosmartAI (2021-2024) focuses on AI-driven hospital smart development, including neurological disease applications.
FAIR4Health included distributed data mining as a key research component for privacy-preserving health analytics.
CrowdHEALTH explored collective wisdom approaches to inform public health policies.
How they've shifted over time
EFMI's H2020 trajectory shows a clear progression from broad public health data concepts toward more applied, technology-intensive health informatics. Their earliest project (CrowdHEALTH, 2017) dealt with aggregating collective health data for policy, while FAIR4Health (2018) sharpened focus on data interoperability and FAIR principles. By 2021, HosmartAI moved them into AI-driven hospital systems — a significant step from standards-setting toward applied clinical AI.
EFMI is moving from health data governance and standards toward applied AI in clinical environments, making them increasingly relevant for projects combining medical informatics with machine learning.
How they like to work
EFMI participates exclusively as a partner, never leading consortia — consistent with their role as a professional federation that contributes expertise rather than managing projects. Their 66 unique partners across just 3 projects indicate they join large, broad consortia (averaging 22+ partners per project). This makes them a connector organization: they bring access to the European medical informatics community and lend credibility to health data initiatives.
Despite only 3 projects, EFMI has collaborated with 66 unique partners across 20 countries, reflecting their role as a pan-European umbrella organization. Their network spans most of the EU, with connections into both academic medical centers and health-tech companies.
What sets them apart
EFMI is not a research lab or a tech company — it is the professional federation representing national medical informatics societies across Europe. This gives consortium builders something rare: a single partner that provides legitimacy, access to the broader health informatics community, and domain expertise on data standards. For any project dealing with health data interoperability, FAIR principles, or e-health governance, EFMI brings institutional weight that individual research groups cannot match.
Highlights from their portfolio
- FAIR4HealthDirectly addressed the EU's push for FAIR data principles in health research, combining interoperability standards with distributed data mining — a policy-relevant and technically ambitious combination.
- HosmartAIEFMI's largest funded project (EUR 254,683) and their most recent, marking a shift into applied AI for hospital environments including neurological disease pilots.