Evidence map›Paper›PMID 39185338›Full record

ArticleOpen research Europe2024

Getting ready for the European Health Data Space (EHDS): IDERHA's plan to align with the latest EHDS requirements for the secondary use of health data.

Rada Hussein, Irina Balaur, Anja Burmann, Hanna Ćwiek-Kupczyńska, Yojana Gadiya, Soumyabrata Ghosh, Prabath Jayathissa, Florian Katsch, Andreas Kremer, Jaakko Lähteenmäki and 9 more

Abstract read
In one paragraph

Article in Open research Europe, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  10. AI Act Compliance Within the MyHealth@EU Framework: Tutorial.Journal of medical Internet research · 2025
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  12. Article
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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

19 authors.

Rada HusseinLudwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.ORCID https://orcid.org/0000-0003-3056-503X
Irina BalaurLuxembourg Centre for Systems Biology, University of Luxembourg, Luxembourg, Luxembourg.ORCID https://orcid.org/0000-0002-3671-895X
Anja BurmannFraunhofer Institute for Software and Systems Engineering, Dortmund, Germany.ORCID https://orcid.org/0000-0002-6989-1230
Hanna Ćwiek-KupczyńskaLuxembourg Centre for Systems Biology, University of Luxembourg, Luxembourg, Luxembourg.ORCID https://orcid.org/0000-0001-9113-567X
Yojana GadiyaDiscovery Research ScreeningPort, Fraunhofer Institute for Translational Medicine and Pharmacology, Hamburg, Germany.ORCID https://orcid.org/0000-0002-7683-0452
Soumyabrata GhoshLuxembourg Centre for Systems Biology, University of Luxembourg, Luxembourg, Luxembourg.
Prabath JayathissaLudwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.
Florian KatschLudwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.ORCID https://orcid.org/0000-0001-7952-9326
Andreas KremerITTM S.A, Luxembourg, Luxembourg.
Jaakko LähteenmäkiVTT Technical Research Centre of Finland Ltd, Espoo, Finland.
Zhaoling MengClinical Modeling and Evidence Integration, Sanofi, Cambridge, MA, USA.
Kathrin MorasekInstitute of Outcomes Research, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0009-0001-0037-5051
Rebecca C RancourtMedical School Berlin, Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0003-2696-7220
Venkata SatagopamLuxembourg Centre for Systems Biology, University of Luxembourg, Luxembourg, Luxembourg.
Stefan SauermannFaculty Life Science Engineering, FH Technikum Wien, Vienna, Austria.
Simon ScheiderFraunhofer Institute for Software and Systems Engineering, Dortmund, Germany.
Tanja StammInstitute of Outcomes Research, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria.
Christian MuehlendyckJohnson & Johnson Medical GmbH, Norderstedt, Germany.
Philip GribbonDiscovery Research ScreeningPort, Fraunhofer Institute for Translational Medicine and Pharmacology, Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The European Health Data Space (EHDS) shapes the digital transformation of healthcare in Europe. The EHDS regulation will also accelerate the use of health data for research, innovation, policy-making, and regulatory activities for secondary use of data (known as EHDS2). The Integration of heterogeneous Data and Evidence towards Regulatory and HTA Acceptance (IDERHA) project builds one of the first pan-European health data spaces in alignment with the EHDS2 requirements, addressing lung cancer as a pilot. Methods: In this study, we conducted a comprehensive review of the EHDS regulation, technical requirements for EHDS2, and related projects. We also explored the results of the Joint Action Towards the European Health Data Space (TEHDAS) to identify the framework of IDERHA's alignment with EHDS2. We also conducted an internal webinar and an external workshop with EHDS experts to share expertise on the EHDS requirements and challenges. Results: We identified the lessons learned from the existing projects and the minimum-set of requirements for aligning IDERHA infrastructure with EHDS2, including user journey, concepts, terminologies, and standards. The IDERHA framework (i.e., platform architecture, standardization approaches, documentation, etc.) is being developed accordingly. Discussion: The IDERHA's alignment plan with EHDS2 necessitates the implementation of three categories of standardization for: data discoverability: Data Catalog Vocabulary (DCAT-AP), enabling semantics interoperability: Observational Medical Outcomes Partnership (OMOP), and health data exchange (DICOM and FHIR). The main challenge is that some standards are still being refined, e.g., the extension of the DCAT-AP (HealthDCAT-AP). Additionally, extensions to the Observational Health Data Sciences and Informatics (OHDSI) OMOP Common Data Model (CDM) to represent the patient-generated health data are still needed. Finally, proper mapping between standards (FHIR/OMOP) is a prerequisite for proper data exchange. Conclusions: The IDERHA's plan and our collaboration with other EHDS initiatives/projects are critical in advancing the implementation of EHDS2.

Indexed as

Artificial Intelligence; European health data space; cancerdigital health; healthcare standards; interoperability; secondary use of data.

Identifiers

PMID39185338
PMCPMC11342032

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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.