Designing and Managing Advanced, Intelligent and Ethical Health and Social Care Ecosystems
Status PubMed-not-MEDLINE Jazyk angličtina Země Švýcarsko Médium electronic
Typ dokumentu časopisecké články
PubMed
37623460
PubMed Central
PMC10455576
DOI
10.3390/jpm13081209
PII: jpm13081209
Knihovny.cz E-zdroje
- Klíčová slova
- architecture, ecosystems, health transformation, knowledge representation and management,
- Publikační typ
- časopisecké články MeSH
The ongoing transformation of health systems around the world aims at personalized, preventive, predictive, participative precision medicine, supported by technology. It considers individual health status, conditions, and genetic and genomic dispositions in personal, social, occupational, environmental and behavioral contexts. In this way, it transforms health and social care from art to science by fully understanding the pathology of diseases and turning health and social care from reactive to proactive. The challenge is the understanding and the formal as well as consistent representation of the world of sciences and practices, i.e., of multidisciplinary and dynamic systems in variable context. This enables mapping between the different disciplines, methodologies, perspectives, intentions, languages, etc., as philosophy or cognitive sciences do. The approach requires the deployment of advanced technologies including autonomous systems and artificial intelligence. This poses important ethical and governance challenges. This paper describes the aforementioned transformation of health and social care ecosystems as well as the related challenges and solutions, resulting in a sophisticated, formal reference architecture. This reference architecture provides a system-theoretical, architecture-centric, ontology-based, policy-driven model and framework for designing and managing intelligent and ethical ecosystems in general and health ecosystems in particular.
1st Medical Faculty Charles University of Prague 11000 Staré Město Czech Republic
eHealth Competence Center Bavaria Deggendorf Institute of Technology 94469 Deggendorf Germany
IBM Retired Tucson AZ 85750 USA
Informatics Institute Federal University of Rio Grande do Sul Porto Alegre 90040 060 Brazil
Medical Faculty University of Regensburg 93053 Regensburg Germany
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