Prof. Dr. Petra Ritter
TEF-Health Coordinator
Director for Brain Simulation Section, Berlin Institute of Health.
Director International Affairs, Charité – Universitätsmedizin Berlin.
About
The European Testing & Experimentation Facility for AI in health.
What is TEF-Health?
Testing and Experimentation Facilities (TEFs) are specialised large-scale reference sites, open to all technology providers across Europe, for testing state-of-the-art AI-based software and hardware solutions in real-world environments.
TEF-Health is the European TEF dedicated to health. It combines physical and virtual facilities to support full integration, testing, experimentation, validation and demonstration of AI-based products and services in clinical and care settings.
- 9 Nodes
- 53 Partners
- 10 Countries
- €60M Budget
Partners and Nodes
TEF-Health brings together 53 partners across 10 European countries, hosted at 32 sites — leading hospitals, universities, clinical research institutions and state-designated testing organisations (e.g. TÜV, LNE, PTB).
Click a marker to see the institutions at that location and open their full page.
Coordination
Advisory Board
Independent experts who advise TEF-Health on patient perspectives, clinical practice, technical innovation, digital governance and medical-device regulation.
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Alexandra von Korff
Senior Project Manager
Patients Today
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Luis Marti-Bonmati
Scientific Coordinator
EUCAIM – European Federation for Cancer Images
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Remke Burie
Managing Director, Technical Medical Centre
University of Twente
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Katharina von Knop
Expert in Digital Trust & AI Governance
Independent advisor
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Aureli Soria-Frisch
Director of Neuroscience
Starlab Barcelona S.L.
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Prof. Stephen Gilbert
Professor of Medical Device Regulatory Science
Else Kröner Fresenius Center for Digital Health, Technische Universität Dresden
Roadmap
From market analysis in 2023 through agile certification pilots and long-term standards for AI in medical devices, the TEF-Health work plan moves the consortium from scoping to sustained pan-European operations.
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2023
Foundations
- Market analysis — Neurotec, Cancer, CardioVascular, Intensive Care
- Data Management Plan aligned with FAIR principles
- Consortium governance and node onboarding
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2024
Catalogues
- Virtual Testing Services catalogue v1
- Catalogue of physical and virtual testing centres
- Cross-European digital testing platform and TEF dataspace
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2025 – 2026
Quality & pricing
- Quality criteria and reference metrics for data and algorithms
- Per-node price lists with SME reductions (GBER-compliant)
- Open services available to applicants across the EU
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2026 – 2027
Pilots & certification
- Exemplary agile certification process aligned with the MDR
- Links established with notified bodies
- Demonstrator use cases with active SME participation
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2028 →
Standards & operations
- Published standards for AI in medical devices
- Sustained pan-European operations beyond the project term
- Continuous trust framework for AI healthcare technologies
Q&A
The concept of Testing and Experimentation Facilities — the highlights. See the full FAQ for everything else.
A Testing and Experimentation Facility (TEF) is a specialised, large-scale reference site that gives European technology providers a place to test state-of-the-art AI-based software and hardware — including robotics — in real-world conditions. TEFs combine physical and virtual facilities so that products and services can be integrated, validated and demonstrated end-to-end before they reach the market.
TEF-Health is open to any technology provider — from SMEs and start-ups to larger companies and research organisations — developing AI-based solutions for healthcare. Service pricing follows state-aid rules with reductions for SMEs; larger companies pay market rates.
TEFs do not exist to collect or harvest data. Data handling within TEF-Health follows the project’s Data Management Plan, FAIR principles and applicable ethical, GDPR and confidentiality requirements. Data used for testing remains under the control of its original holders.