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The Representational Challenge for Designing and Managing 5P Medicine Ecosystems
B. Blobel, F. Oemig, P. Ruotsalainen, M. Brochhausen, M. Giacomini
Jazyk angličtina Země Nizozemsko
Typ dokumentu časopisecké články
PubMed
38784996
DOI
10.3233/shti240047
Knihovny.cz E-zdroje
- MeSH
- individualizovaná medicína * MeSH
- lidé MeSH
- umělá inteligence MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
Health and social care systems around the globe currently undergo a transformation towards personalized, preventive, predictive, participative precision medicine (5PM), considering the individual health status, conditions, genetic and genomic dispositions, etc., in personal, social, occupational, environmental and behavioral context. This transformation is strongly supported by technologies such as micro- and nanotechnologies, advanced computing, artificial intelligence, edge computing, etc. For enabling communication and cooperation between actors from different domains using different methodologies, languages and ontologies based on different education, experiences, etc., we have to understand the transformed health ecosystems and all its components in structure, function and relationships in the necessary detail ranging from elementary particles up to the universe. That way, we advance design and management of the complex and highly dynamic ecosystem from data to knowledge level. The challenge is the consistent, correct and formalized representation of the transformed health ecosystem from the perspectives of all domains involved, representing and managing them based on related ontologies. The resulting business view of the real-world ecosystem must be interrelated using the ISO/IEC 21838 Top Level Ontologies standard. Thereafter, the outcome can be transformed into implementable solutions using the ISO/IEC 10746 Open Distributed Processing Reference Model. Model and framework for this system-oriented, architecture-centric, ontology-based, policy-driven approach have been developed by the first author and meanwhile standardized as ISO 23903 Interoperability and Integration Reference Architecture.
Cerner Health Services Deutschland GmbH Berlin Germany
Charles University Prague 1st Medical Faculty Prague Czech Republic
Deggendorf Institute of Technology ECRI Deggendorf Germany
Tampere University ITC Tampere Finland
University of Arkansas for Medical Sciences DBMI Little Rock USA
Citace poskytuje Crossref.org
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