Evidence map›Paper›PMID 41658397›Full record

ArticleJournal of healthcare informatics research2026

Unlocking Health Data for Research: Legal, Technical, and Organisational Lessons from a Belgian Interdisciplinary Case Study.

Audrey Van Scharen, Karen Cruyt, Jeroen Colon, Selene De Sutter, Johnny Duerinck, Ramses Forsyth, Catharina Olsen, Paul Quinn, Konstantina Tzavella, Sonia Van Dooren and 5 more

Abstract read
In one paragraph

Article in Journal of healthcare informatics research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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

15 authors.

Audrey Van Scharen *Medical Ethics Committee, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium.
Karen Cruyt *Medical Ethics Committee, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium.
Jeroen ColonICT Department, Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium.
Selene De SutterDepartment of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Johnny DuerinckDepartment of Neurosurgery, Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium.
Ramses ForsythDepartment of Pathology, Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium.
Catharina OlsenClinical Sciences, Research Group Genetics, Reproduction and Development (GRAD), Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium.
Paul QuinnMedical Ethics Committee, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium.
Konstantina TzavellaInteruniversity Institute of Bioinformatics (IB2), Université Libre de Bruxelles, Vrije Universiteit Brussel (ULB-VUB), Brussels, Belgium.
Sonia Van DoorenResearch Centre for Digital Medicine, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Wim WaelputDepartment of Pathology, Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium.
Arne WitdouckHealth Innovation Hub, Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium.
Pieter CornuResearch Centre for Digital Medicine, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Jef VandemeulebrouckeDepartment of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Wim VrankenInteruniversity Institute of Bioinformatics (IB2), Université Libre de Bruxelles, Vrije Universiteit Brussel (ULB-VUB), Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The reuse of clinical health data holds immense promise for advancing medical research, yet remains constrained by complex legal, technical, and organisational barriers. This article examines these challenges through the case study of TumorScope, a Belgian interdisciplinary initiative developing a secure, multimodal data environment for glioblastoma research. Drawing on five years of practical experience integrating imaging, genetic, tissue-based, and clinical datasets, the study identifies key legal, ethical, technical, and operational obstacles to effective data access, linkage, and reuse. Technical issues included fragmented data flows, pseudonymisation complexities, and limited interoperability, while legal and ethical barriers arose from strict interpretations of the General Data Protection Regulation, medical secrecy obligations, and intellectual property constraints. These were compounded by operational challenges such as unclear governance structures, resource limitations, and the limited capacity of Medical Research Ethics Committees to assess data-driven research. The analysis further considers the European Health Data Space Regulation (EHDS) as a potential enabler of responsible secondary data use, while noting uncertainties in its national implementation. Overall, the study demonstrates that meaningful health data reuse requires more than regulatory compliance, it depends on robust governance frameworks, institutional coordination, and sustained investment in infrastructure and expertise. The findings contribute to ongoing debates in healthcare informatics on how to translate the vision of the EHDS into practical, ethically grounded data reuse for patient benefit.

Indexed as

Data governanceEuropean Health Data Space (EHDS)Interdisciplinary data sharingMultimodal data integrationNational implementationSecondary use of health dataSecure processing environment

Identifiers

PMID41658397
PMCPMC12873005

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.