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  4. 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
 
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2024
Journal Article
Title

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

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.
Author(s)
Hussein, Rada
Ludwig Boltzmann Institutes
Balaur, Irina Afrodita
University of Luxembourg
Burmann, Anja  
Fraunhofer-Institut für Software- und Systemtechnik ISST  
Ćwiek-Kupczyńska, Hanna
University of Luxembourg
Gadiya, Yojana
Fraunhofer Institute for Translational Medicine and Pharmacology
Ghosh, Soumyabrata
University of Luxembourg
Jayathissa, Prabath
Ludwig Boltzmann Institutes
Katsch, Florian
Ludwig Boltzmann Institutes
Kremer, Andreas
ITTM S.A.
Lähteenmäki, Jaakko
Teknologian Tutkimuskeskus VTT
Meng, Zhaoling
Sanofi Pasteur Biologics, LLC
Morasek, Kathrin
Medizinische Universität Wien
C Rancourt, Rebecca
MSB Medical School Berlin
Satagopam, Venkata P.
University of Luxembourg
Sauermann, Stefan
Fachhochschule Technikum Wien
Scheider, Simon
Fraunhofer-Institut für Software- und Systemtechnik ISST  
Stamm, Tanja Alexandra
Medizinische Universität Wien
Muehlendyck, Christian
Johnson & Johnson
Gribbon, Philip M.  
Fraunhofer Institute for Translational Medicine and Pharmacology
Journal
Open Research Europe
Funder
Health Technology Assessment Programme
DOI
10.12688/openreseurope.18179.1
Additional link
Full text
Language
English
Fraunhofer-Institut für Software- und Systemtechnik ISST  
Fraunhofer Institute for Translational Medicine and Pharmacology
Keyword(s)
  • Artificial Intelligence; European health data space; cancer

  • digital health; healthcare standards; interoperability; secondary use of data

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