Reality Check: The Aspirations of the European Health Data Space Amidst Challenges in Decentralized Data Analysis

Holger Fröhlich; Anne Funck Hansen; Mika Hilvo; Gunther Jansen; Sumit Madan; Sobhan Moazemi; Sanziana Negreanu; Venkata Satagopam; Phil Gribbon; Christian Muehlendyck

doi:10.2196/76491

Reality Check: The Aspirations of the European Health Data Space Amidst Challenges in Decentralized Data Analysis

Holger Fröhlich^*, Anne Funck Hansen, Mika Hilvo, Gunther Jansen, Sumit Madan, Sobhan Moazemi, Sanziana Negreanu, Venkata Satagopam, Phil Gribbon, Christian Muehlendyck

^*Corresponding author for this work

BA6308 Health data analytics

Research output: Contribution to journal › Article › Scientific › peer-review

Abstract

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.

Original language	English
Article number	e76491
Journal	Journal of Medical Internet Research
Volume	27
Issue number	1
DOIs	https://doi.org/10.2196/76491
Publication status	Published - 2025
MoE publication type	A1 Journal article-refereed

Funding

This project has received funding from the European Union’s Horizon Europe research and innovation program under grant agreement No [101112135] (Integration of heterogeneous Data and Evidence towards Regulatory and HTA Acceptance [IDERHA]) through the Innovative Health Initiative (IHI) Joint Undertaking (JU).

Keywords

European Health Data Space
federated data analysis
federated learning
General Data Protection Rule
swarm learning

Access to Document

10.2196/76491Licence: CC BY

Cite this

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AU - Fröhlich, Holger

AU - Hansen, Anne Funck

AU - Hilvo, Mika

AU - Jansen, Gunther

AU - Madan, Sumit

AU - Moazemi, Sobhan

AU - Negreanu, Sanziana

AU - Satagopam, Venkata

AU - Gribbon, Phil

AU - Muehlendyck, Christian

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KW - European Health Data Space

KW - federated data analysis

KW - federated learning

KW - General Data Protection Rule

KW - swarm learning

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Reality Check: The Aspirations of the European Health Data Space Amidst Challenges in Decentralized Data Analysis

Abstract

Funding

Keywords

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IDERHA: Integration of heterogeneous Data and Evidence towards Regulatory and HTA Acceptance

Cite this

Reality Check: The Aspirations of the European Health Data Space Amidst Challenges in Decentralized Data Analysis

Abstract

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Projects

IDERHA: Integration of heterogeneous Data and Evidence towards Regulatory and HTA Acceptance

Cite this