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Viewpoints and Perspectives (1349) Clinical Informatics (2137) Policy (88) Knowledge Translation and Implementation Science (756) eHealth Infrastructures (492) Information Models (101) Artificial Intelligence (4535) Data Science (681) Standards and Interoperability (212)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69813, first published .
AI research: two scientists analyze a glowing brain schematic with AI data.

Interoperability Framework of the European Health Data Space for the Secondary Use of Data: Interactive European Interoperability Framework–Based Standards Compliance Toolkit for AI-Driven Projects

Interoperability Framework of the European Health Data Space for the Secondary Use of Data: Interactive European Interoperability Framework–Based Standards Compliance Toolkit for AI-Driven Projects

Authors of this article:

Rada Hussein1 Author Orcid Image ;   Amelie Gyrard2 Author Orcid Image ;   Somayeh Abedian1 Author Orcid Image ;   Philip Gribbon3, 4 Author Orcid Image ;   Sara Alabart Martínez5 Author Orcid Image
Article Authors Cited by (16) Tweetations Metrics

Journals

  1. Wang J, Lin A, Huang Y, Li G, Chen T, Sun C, Qian W, Ren S, Wong H, Ding Y, Zhang L. Medical Data as a Key Asset in the Digital Health Era: A Framework for Challenges and Strategies. iMetaMed 2025;1(2) View
  2. Dellamonica D, Ruau D, Griffiths B, Rossi G, Li B, Razavi P, Di Maio T, Gonzalez T, Remorino A, Reis-Filho J, Menu P, Gutjahr T, Moucquot A, Diethe T, Naqvi H, Muken R, Azcue P. The AI revolution: how multimodal intelligence will reshape the oncology ecosystem. npj Artificial Intelligence 2025;1(1) View
  3. Klonoff D, Scheideman A, Shao M, Ho C, Ayers A, Jendle J, Wykowski H, Heinemann L. The need for clear medical data ownership laws. Journal of Translational Medicine 2026;24(1) View
  4. Hou H, Bisson T, Leiss S, Thierauf J, Stern A, Strobelt H, Nensa F, Buyx A, Huster K, Furlano K, Kozlakidis Z, Gupta S, Kostadinov D, Boor P, Slagman A, Tjardes T, Cholet P, Schneider N, Schlomm T, Biskup S, Röhrig R, Molnár-Gábor F, Schmidt-Straßburger U, Ladewig K, Weigand M, Pinto dos Santos D, Johnson J, Kirsten T, Sutherland E, Zerbe N, Hofman A, Heyder R, Schmidt G, Lennerz J. BRIDGE pilot study: a bilateral regulatory investigation of data governance and exchange. npj Digital Medicine 2026;9(1) View
  5. Petrová P, Bruthans J, Ondrejková M. From pilot to policy: Adoption of the National mHealth application EZKarta in Czechia. DIGITAL HEALTH 2026;12 View
  6. Bamberg F, Adam G, Antoch G, Barkhausen J, Bäuerle T, Bley T, Borggrefe J, Bücker A, Denecke T, Hoffmann R, Kauczor H, Krombach G, Lotz J, Mahnken A, Makowski M, Maurer M, Pech M, Schönberg S, Schreyer A, Stroszczynski C, Vogl T, Weber M, Wielpütz M, Wohlgemuth W, Russe M, Steinborn C, Kotter E. Artificial Intelligence in Radiology: Unlocking New Dimensions of Value. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren 2026 View
  7. Liu N, Han G, Gu Q, Zhang Y, Chen M. A new era of precision diagnosis and treatment for lung cancer: artificial intelligence-driven multimodal data integration and clinical applications. Cell Death & Disease 2026;17(1) View
  8. Ungurean I, Gherman O, Lavric A, Dimian M. A privacy-centric microservice framework for secure FHIR-based integration of heterogeneous medical data. International Journal of Medical Informatics 2026;216:106477 View
  9. Kunze K, Barad A. Establishing a Sustainable Artificial Intelligence Infrastructure for Health Care Systems Part II: Consideration of Key Regulatory and Bioethical Barriers to Implementation. Arthroscopy 2026 View
  10. Boutsma E, Herzog K, Rancourt R, Gerriet Blum T, Moreno A, J. Núñez-Benjumea F, Ćwiek-Kupczyńska H, Hussein R, Fröhlich H, Groth Jensen L, Funck Hansen A, Kartschmit N, Burmann A, Grättinger M, Madan S, Peeters R, Satagopam V, Schaaij-Visser T, Gribbon P, Muehlendyck C. A sustainable platform for federated health data access, AI innovation, and regulatory acceptance in alignment with the European Health Data Space principles. Open Research Europe 2026;6:181 View
  11. Shaw L, Lyons K. A theory-informed framework for conducting a national needs assessment to inform interdisciplinary FHIR training programs. Health Policy and Technology 2026;15(8):101272 View
  12. Liebes-Peer Y, Czeisler S, Broderick R, Vecsler M, Heller Y, Linhart C, Mossel J, Lennerz J. Regulatory science for AI-based software as a medical device in computational pathology and biomarker-driven drug development. Journal of Pathology Informatics 2026;22:100681 View
  13. Kleinhappel T, Calanzani N, Cooke S, Pickwell-Smith B, Spencer K, Kane R, Naqvi S, de Sá J, Couespel N, Selby P, Lawler M, Murchie P, Nelson D. Rural cancer research activity across Europe: A bibliometric analysis on patterns, gaps and policy implications. European Journal of Oncology Nursing 2026;83:103258 View
  14. Declerck J, Eklund N, Sáez C, Rijnbeek P, Bernal-Delgado E, van Mulligen E, Kalra D. Health Data Quality Skill Gaps and Training Needs Among European Health Data Stakeholders: Cross-Sectional Survey. Journal of Medical Internet Research 2026;28:e86878 View

Books/Policy Documents

  1. Steele Gray C, Gagnon D, Guldemond N, Kenealy T. Handbook of Integrated Care. View
  2. Steele Gray C, Gagnon D, Guldemond N, Kenealy T. Handbook of Integrated Care. View