Authors: Carlos Luis Parra-Calderón, Celia Alvarez-Romero, María González-López, Silvia Rodríguez-Mejías, Kirsten Colpaert, Felix Balzer, Boris Delange, Marc Cuggia, Denis Delamarre, Christel Daniel, Maxim Moinat, Jan van den Brand, Michel E. van Genderen, Lucas Fleuren, Christian Jung.

• Pages – 527 – 531
• DOI – 10.3233/SHTI250393

Published in Studies in Health Technology and Informatics – Ebook – Volume 327: Intelligent Health Systems – From Technology to Data and Knowledge

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.

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Source: IOS Press Ebooks