Towards the Common Data Model for an Intensive Medicine Data Space in Europe

This work aims to identify the Key Research Areas for building and deploying the semantic interoperability framework for the Intensive Medicine Data Space in Europe. A set of European experts defined four research areas and associated challenges: i) to characterize the value of Common Data Models, vocabularies and standardized data elements for creating the foundation for the standardization of Intensive Care Unit (ICU) data sets, ii) to derive the Common Data Model ensuring seamless data interoperability supporting the querying and access to high-quality, multi-modal data located on federated nodes according to the FAIR principles, iii) to define and support the data standardization process enabling efficient secondary use of ICU data set during the execution of key decision support use cases through the Intensive Medicine Data Space in Europe and beyond, and iv) to define requirements for anonymization and pseudonymization for the good balance between data protection and innovation.

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Publication Details

Journal
Studies in health technology and informatics
Published
2025-05-15
DOI
https://doi.org/10.3233/shti250393
Primary Topic
Palliative Care and End-of-Life Issues
Type
article
Field-Weighted Citation Impact
0.00
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article

Towards the Common Data Model for an Intensive Medicine Data Space in Europe

Denis Delamarre, Christian Jung, Celia Álvarez-Romero, Carlos Luís Parra-Calderón et al.
Studies in health technology and informatics
Palliative Care and End-of-Life Issues
article

Towards the Common Data Model for an Intensive Medicine Data Space in Europe

Denis Delamarre, Christian Jung, Celia Álvarez-Romero, Carlos Luís Parra-Calderón, Lucas M. Fleuren, Michel E. van Genderen, Boris Delange, Marc Cuggia, Felix Balzer, Maxim Moinat, Kirsten Colpaert, Jan A.J.G. van den Brand, Christel Daniel, Silvia Rodríguez-Mejías, María González-López
article en

Abstract

This work aims to identify the Key Research Areas for building and deploying the semantic interoperability framework for the Intensive Medicine Data Space in Europe. A set of European experts defined four research areas and associated challenges: i) to characterize the value of Common Data Models, vocabularies and standardized data elements for creating the foundation for the standardization of Intensive Care Unit (ICU) data sets, ii) to derive the Common Data Model ensuring seamless data interoperability supporting the querying and access to high-quality, multi-modal data located on federated nodes according to the FAIR principles, iii) to define and support the data standardization process enabling efficient secondary use of ICU data set during the execution of key decision support use cases through the Intensive Medicine Data Space in Europe and beyond, and iv) to define requirements for anonymization and pseudonymization for the good balance between data protection and innovation.

Studies in health technology and informaticsVol. 327
Inserm (FR), Ghent University Hospital (BE), Erasmus MC (NL), Humboldt-Universität zu Berlin (DE), Sorbonne Université (FR), Université Sorbonne Paris Nord (FR), Assistance Publique – Hôpitaux de Paris (FR), Laboratoire Traitement du Signal et de l'Image (FR), Instituto de Biomedicina de Sevilla (ES), Hospital Universitario Virgen del Rocío (ES), Centre Hospitalier Universitaire de Rennes (FR), Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé, Heinrich Heine University Düsseldorf (DE), Université de Rennes (FR), Freie Universität Berlin (DE), Charité - Universitätsmedizin Berlin (DE), Universidad de Sevilla (ES)
Industry, innovation and infrastructure
Openalex Percentile: Top 73%
Palliative Care and End-of-Life Issues
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