Advancing Real-World Evidence Through a Federated Health Data Network (EHDEN): Descriptive Study
EHDEN is the largest federated health data network in Europe, enabling standardized, General Data Protection Regulation-compliant analysis of RWD across diverse care settings and populations. This descriptive summary of the network's data sources enhances transparency and supports broader efforts to scale federated research. These findings demonstrate EHDEN's potential to enable collaborative studies and generate trusted evidence for public health and regulatory purposes.
Authors
- Clair Blacketer (ORCID: https://orcid.org/0000-0003-2570-2124)
- Montse Camprubi
- Peter R. Rijnbeek (ORCID: https://orcid.org/0000-0003-0621-1979)
- Patrick B. Ryan (ORCID: https://orcid.org/0000-0002-9727-2138)
- Maxim Moinat (ORCID: https://orcid.org/0000-0001-8473-2433)
- Martijn J. Schuemie (ORCID: https://orcid.org/0000-0002-0817-5361)
- Erica A. Voss (ORCID: https://orcid.org/0000-0002-0651-0613)
Institutions
- Johnson & Johnson (United States) (US)
- University of California, Los Angeles (US)
- Erasmus MC (NL)
- Synapse (Spain) (ES)
- New York School of Interior Design (US)
- Columbia University (US)
- Erasmus University Rotterdam (NL)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-05-30
- DOI
- https://doi.org/10.2196/74119
- Citations
- 4
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 9.92