The European Health Data Space (EHDS) aspires to enable secure, interoperable, and decentralized health data usage across Europe. This paper explores legal and technical challenges in implementing EHDS goals, particularly for secondary data use. It highlights federated and swarm learning as promising yet complex solutions, requiring robust infrastructure, standardization, and regulatory clarity. We emphasize the need for coordinated legislative and technological advances to realize EHDS ambitions.
Keywords: European Health Data Space; General Data Protection Rule; federated data analysis; federated learning; swarm learning.
© Holger Fröhlich, Anne Funck Hansen, Mika Hilvo, Gunther Jansen, Sumit Madan, Sobhan Moazemi, Sanziana Negreanu, Venkata Satagopam, Phil Gribbon, Christian Muehlendyck. Originally published in the Journal of Medical Internet Research (https://www.jmir.org).