Year: 2025
Type: book-chapter
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.
DOI: 10.3233/shti250393
Institutions: Consejo Superior de Investigaciones Científicas, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío, Universidad de Sevilla, Ghent University Hospital, Humboldt-Universität zu Berlin, Charité - Universitätsmedizin Berlin, Inserm, Laboratoire Traitement du Signal et de l'Image, Centre Hospitalier Universitaire de Rennes, Université de Rennes, Sorbonne Université, Université Sorbonne Paris Nord, Assistance Publique – Hôpitaux de Paris, Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé, Erasmus MC, Heinrich Heine University Düsseldorf
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4410447795