Evidence map›Paper›PMID 40971544›Full record

ArticleJournal of medical Internet research2025

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

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Holger FröhlichFraunhofer Institute for Algorithms and Scientific Computing, Schloss Birlinghoven, Sankt Augustin, 53757, Germany, 49 151 7059794.ORCID http://orcid.org/0000-0002-5328-1243
Anne Funck HansenFraunhofer Society for the Advancement of Applied Research, Munich, Germany.ORCID http://orcid.org/0009-0002-7488-9335
Mika HilvoVTT Technical Research Centre of Finland, Espoo, Finland.ORCID http://orcid.org/0000-0003-0663-5843
Gunther JansenNovartis (Switzerland), Basel, Switzerland.ORCID http://orcid.org/0000-0002-8792-9407
Sumit MadanFraunhofer Institute for Algorithms and Scientific Computing, Schloss Birlinghoven, Sankt Augustin, 53757, Germany, 49 151 7059794.ORCID http://orcid.org/0000-0001-9970-4144
Sobhan MoazemiFraunhofer Institute for Algorithms and Scientific Computing, Schloss Birlinghoven, Sankt Augustin, 53757, Germany, 49 151 7059794.ORCID http://orcid.org/0000-0003-3277-3596
Sanziana NegreanuJohnson & Johnson (Germany), Norderstedt, Germany.ORCID http://orcid.org/0009-0004-6675-3934
Venkata SatagopamLuxembourg Centre for Systems Biomedicine, Belvaux, Luxembourg.ORCID http://orcid.org/0000-0002-6532-5880
Phil GribbonFraunhofer Institute for Translational Medicine and Pharmacology, Hamburg, Germany.ORCID http://orcid.org/0000-0001-7655-2459
Christian MuehlendyckJohnson & Johnson (Germany), Norderstedt, Germany.ORCID http://orcid.org/0000-0001-5115-8957

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unlabelled: 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.

Indexed as

Data AnalysisElectronic Health RecordsEuropeHumansEuropean Health Data Spacefederated data analysisfederated learningGeneral Data Protection Ruleswarm learning

Identifiers

PMID40971544
PMCPMC12448252

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.