학술논문
Designing and Managing Advanced, Intelligent and Ethical Health and Social Care Ecosystems.
Document Type
Academic Journal
Author
Blobel B; Medical Faculty, University of Regensburg, 93053 Regensburg, Germany.; eHealth Competence Center Bavaria, Deggendorf Institute of Technology, 94469 Deggendorf, Germany.; First Medical Faculty, Charles University of Prague, 11000 Staré Město, Czech Republic.; Ruotsalainen P; Faculty of Information Technology and Communication Sciences, Tampere University, 33100 Tampere, Finland.; Brochhausen M; Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.; Prestes E; Informatics Institute, Federal University of Rio Grande do Sul, Porto Alegre 90040-060, Brazil.; Houghtaling MA; IBM-Retired, Tucson, AZ 85750, USA.
Source
Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101602269 Publication Model: Electronic Cited Medium: Print ISSN: 2075-4426 (Print) Linking ISSN: 20754426 NLM ISO Abbreviation: J Pers Med Subsets: PubMed not MEDLINE
Subject
Language
English
ISSN
2075-4426
Abstract
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.