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Key Research Areas for Building and Deploying a Common Data Model for an Intensive Medicine Data Space in Europe and Beyond.
Parra-Calderón, Carlos Luis; Rodríguez Mejías, Silvia; Colpaert, Kirsten; Balzer, Felix; Delange, Boris; Cuggia, Marc; Delamarre, Denis; Daniel, Christel; Moinat, Maxim; van den Brand, Jan; van Genderen, Michel E; Fleureng, Lucas; Jungh, Christian; Álvarez-Romero, Celia.
Afiliación
  • Parra-Calderón CL; Computational Health Informatics Group. Institute of Biomedicine of Seville, IBIS/ Virgen del Rocío University Hospital/CSIC/University of Seville, Spain.
  • Rodríguez Mejías S; Computational Health Informatics Group. Institute of Biomedicine of Seville, IBIS/ Virgen del Rocío University Hospital/CSIC/University of Seville, Spain.
  • Colpaert K; Data Science Institute, Ghent University Hospital, Ghent, Belgium.
  • Balzer F; Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Germany.
  • Delange B; CHU Rennes, INSERM, LTSI-UMR 1099, Univ Rennes, 35000 Rennes, France.
  • Cuggia M; CHU Rennes, INSERM, LTSI-UMR 1099, Univ Rennes, 35000 Rennes, France.
  • Delamarre D; CHU Rennes, INSERM, LTSI-UMR 1099, Univ Rennes, 35000 Rennes, France.
  • Daniel C; Assistance Publique Hôpitaux de Paris, Paris, France.
  • Moinat M; Sorbonne Université, Inserm, Université Sorbonne Paris Nord, LIMICS, Paris, France.
  • van den Brand J; Sorbonne Université, Inserm, Université Sorbonne Paris Nord, LIMICS, Paris, France.
  • van Genderen ME; Erasmus MC University Medical Center, Department of Adult Intensive Care, Rotterdam, The Netherlands.
  • Fleureng L; Erasmus MC University Medical Center, Department of Adult Intensive Care, Rotterdam, The Netherlands.
  • Jungh C; Erasmus MC University Medical Center, Department of Adult Intensive Care, Rotterdam, The Netherlands.
  • Álvarez-Romero C; Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Dusseldorf, Dusseldorf, German and CARID (Cardiovascular Research Institute Düsseldorf), Dusseldorf, Germany.
Stud Health Technol Inform ; 316: 1465-1466, 2024 Aug 22.
Article en En | MEDLINE | ID: mdl-39176480
ABSTRACT
Key Research Areas (KRAs) were identified to establish a semantic interoperability framework for intensive medicine data in Europe. These include assessing common data model value, ensuring smooth data interoperability, supporting data standardization for efficient dataset use, and defining anonymization requirements to balance data protection and innovation.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Registros Electrónicos de Salud Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2024 Tipo del documento: Article País de afiliación: España Pais de publicación: Países Bajos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Registros Electrónicos de Salud Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2024 Tipo del documento: Article País de afiliación: España Pais de publicación: Países Bajos