Integration of Heterogeneous Data and Evidence towards Regulatory and HTA Acceptance

IDERHA is a European public-private partnership launched in April 2023. The goal of the project is to conceptually and technically overcome interdisciplinary barriers to accessing, integrating, and analyzing health data to maximize its value for patient care and medical research.

The challenge

In the medical context, health information often resides in a distributed and disconnected manner in different clinics and medical records, which hinders data-based research, especially the development of new AI algorithms to improve indi- vidual therapy options (e.g., close-loop precision medicine). IDERHA aims to create a modern and dynamically scalable data ecosystem for seamless integration and linkage of disparate health data to enable health care professionals (e.g., physicians), patients, and researchers to provide optimized, empowered, and innovative health care. Our goal is to support better treatment and modern disease management, as well as personalized care. To this end, the IDERHA data space broadly links the health data of various European hospitals, taking into account legal, ethical and technical restrictions. In addition, we implement state-of-the-art federated learning methods that enable research innovations within this data space based on jointly developed standards and procedures.


Our contribution

Fraunhofer ISST is significantly responsible for the technical implementation of the IDERHA Data Space as well as the integrated Federated Learning Framework. Based on the Eclipse Data Space connectors, an interoperable network is developed and operated to enable data integration and interoperability for multimodal data from an arbitrarily scalable set of data sources and to support the wide-scale development of modern AI/ML algorithms. In addition, the data space is intended to give patients control over their own health data. Thus, IDERHA follows the European principle of data sovereignty, which is regarded by the European Union as crucial for modern information societies.



IDERHA is part of the European Cancer Plan. As a use case within the project, artificial intelligence and machine learning will be used to link and analyze various human health data in order to improve the early detection of lung cancer and the quality of life of people with lung cancer. To this end, one of the first pan-European health data spaces is being established in the spirit of the European Health Data Spaces. To scale up benefits, IDERHA seeks to accelerate policy development by supporting regulatory approval and health technology assessment (HTA).



  • Johnson & Johnson Medical Gmbh
  • Foundation Lygature
  • University of Luxembourg (ELIXIR-LU)
  • The European Institute for Innovation through Health Data
  • Teknologian Tutkimuskeskus VTT
  • Information Technology for Translational Medicine
  • Ludwig Boltzmann Gesellschaft
  • Fachhochschule Technikum Wien
  • National Institute for Health and Care Excellence
  • Forum des Patients Européens
  • Servizo Galego de Saude
  • Servicio Andaluz de Salud
  • SAS
  • Fundación Pública Andaluza para la gestión de la Investigación en Salud de Sevilla
  • Fundación para la Investigación del Hospital Universitario La Fe de la Comunidad Valenciana
  • Klinikum Rechts der Isar der Technischen Universität München
  • Medizinische Universität Wien
  • Laegemiddelstyrelsen (Danish Medicines Agency)
  • Philips Medical Systems Nederland B.V.
  • Asklepios Kliniken Hamburg
  • Labcorp Early Development Laboratories Ltd
  • Region Midtjylland (DEFACTUM)
  • Medical School Berlin Gmbh
  • European Cancer Patient Coalition
  • Takeda Pharmaceuticals International AG
  • Sanofi-Aventis Recherche & Developpement
  • Philips Medical Systems Technologies Ltd
  • Hygiaso
  • European Respiratory Society
  • Lung Cancer Europe