A sustainable platform for federated health data access, AI innovation, and regulatory acceptance in alignment with the European Health Data Space principles

The IDERHA ( I ntegration of Heterogeneous D ata and E vidence towards R egulatory and H TA A cceptance) project aims to enhance medical research by establishing one of Europe’s first pan-European, disease-agnostic health data spaces. Aligned with the European Health Data Space (EHDS) principles, IDERHA addresses critical challenges in data quality, standardization, and governance, ensuring compliance with GDPR, the AI Act, and emerging EHDS regulations. Its ambition is to enable secure, federated access and analysis of health data, fostering data-driven collaboration and innovation in healthcare. IDERHA’s technical infrastructure employs a ‘privacy-by-design’ approach, leveraging federated analytics and learning to maintain data sovereignty and reduce privacy risks. The project focuses on lung cancer as a high-impact use case, utilizing AI and machine learning to improve early detection, diagnosis, and personalized care. It also aims to develop policy recommendations for the acceptance of real-world evidence (RWE) for regulatory decision-making through multi-stakeholder engagement and public consultations. However, challenges remain, including semantic interoperability, and scaling federated AI methods across borders. IDERHA’s modular, standards-based architecture and emphasis on ethical, legal, and FAIR compliance provide a robust framework for addressing these issues. By collaborating with other initiatives in the health data domain to drive compatibility, IDERHA seeks to accelerate innovation by creating a sustainable, scalable model for health data access and thereby a positive impact for patients across Europe.

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Publication Details

Journal
Open Research Europe
Published
2026-09-21
DOI
https://doi.org/10.12688/openreseurope.23459.3
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
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article

A sustainable platform for federated health data access, AI innovation, and regulatory acceptance in alignment with the European Health Data Space principles

Hanna Ćwiek‐Kupczyńska, Rebecca C. Rancourt, Rada Hussein, Christian Muehlendyck et al.
Open Research Europe
Artificial Intelligence in Healthcare and Education
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A sustainable platform for federated health data access, AI innovation, and regulatory acceptance in alignment with the European Health Data Space principles

Hanna Ćwiek‐Kupczyńska, Rebecca C. Rancourt, Rada Hussein, Christian Muehlendyck, Holger Fröhlich, Nadja Kartschmit, Lotte Groth Jensen, Katja Herzog, Anja Burmann, Mira Grättinger, Erwin Boutsma, Torsten Gerriet Blum, Sumit Madan, Alberto Moreno, Francisco J. Núñez-Benjumea, Tieneke B.M. Schaaij‐Visser, Venkata P. Satagopam, Rita Peeters, Philip Gribbon, Anne Funck Hansen
article en

Abstract

The IDERHA ( I ntegration of Heterogeneous D ata and E vidence towards R egulatory and H TA A cceptance) project aims to enhance medical research by establishing one of Europe’s first pan-European, disease-agnostic health data spaces. Aligned with the European Health Data Space (EHDS) principles, IDERHA addresses critical challenges in data quality, standardization, and governance, ensuring compliance with GDPR, the AI Act, and emerging EHDS regulations. Its ambition is to enable secure, federated access and analysis of health data, fostering data-driven collaboration and innovation in healthcare. IDERHA’s technical infrastructure employs a ‘privacy-by-design’ approach, leveraging federated analytics and learning to maintain data sovereignty and reduce privacy risks. The project focuses on lung cancer as a high-impact use case, utilizing AI and machine learning to improve early detection, diagnosis, and personalized care. It also aims to develop policy recommendations for the acceptance of real-world evidence (RWE) for regulatory decision-making through multi-stakeholder engagement and public consultations. However, challenges remain, including semantic interoperability, and scaling federated AI methods across borders. IDERHA’s modular, standards-based architecture and emphasis on ethical, legal, and FAIR compliance provide a robust framework for addressing these issues. By collaborating with other initiatives in the health data domain to drive compatibility, IDERHA seeks to accelerate innovation by creating a sustainable, scalable model for health data access and thereby a positive impact for patients across Europe.

Open Research EuropeVol. 6
Johnson & Johnson (United States) (US), University of Luxembourg (LU), MSB Medical School Berlin (DE), Fraunhofer Institute for Algorithms and Scientific Computing (DE), Helios Klinikum Emil von Behring (DE), Austrian Institute for Health Technology Assessment GmbH (AT), Fraunhofer Institute for Translational Medicine and Pharmacology (DE), Central Denmark Region (DK), Johnson & Johnson (Germany) (DE), Lygature (NL), Instituto de Biomedicina de Sevilla (ES), Gesellschaft zur Förderung angewandter Informatik (DE), Fraunhofer Institute for Software and Systems Engineering (DE), Medical University of Vienna (AT)
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Artificial Intelligence in Healthcare and Education
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