• Je něco špatně v tomto záznamu ?

The Representational Challenge for Designing and Managing 5P Medicine Ecosystems

B. Blobel, F. Oemig, P. Ruotsalainen, M. Brochhausen, M. Giacomini

. 2024 ; 314 (-) : 3-13. [pub] 20240523

Jazyk angličtina Země Nizozemsko

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc24013876

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.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc24013876
003      
CZ-PrNML
005      
20240905134148.0
007      
ta
008      
240725e20240523ne f 000 0|eng||
009      
AR
024    7_
$a 10.3233/SHTI240047 $2 doi
035    __
$a (PubMed)38784996
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a ne
100    1_
$a Blobel, Bernd $u University of Regensburg, Medical Faculty, Regensburg, Germany $u Charles University Prague, First Medical Faculty, Prague, Czech Republic $u University of Genoa, DIBRIS, Genoa, Italy $u Deggendorf Institute of Technology, ECRI, Deggendorf, Germany
245    14
$a The Representational Challenge for Designing and Managing 5P Medicine Ecosystems / $c B. Blobel, F. Oemig, P. Ruotsalainen, M. Brochhausen, M. Giacomini
520    9_
$a 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.
650    12
$a individualizovaná medicína $7 D057285
650    _2
$a lidé $7 D006801
650    _2
$a umělá inteligence $7 D001185
655    _2
$a časopisecké články $7 D016428
700    1_
$a Oemig, Frank $u Cerner Health Services Deutschland GmbH, Berlin, Germany $u IHE Germany, Berlin, Germany
700    1_
$a Ruotsalainen, Pekka $u Tampere University, ITC, Tampere, Finland
700    1_
$a Brochhausen, Mathias $u University of Arkansas for Medical Sciences, DBMI, Little Rock, USA
700    1_
$a Giacomini, Mauro $u University of Genoa, DIBRIS, Genoa, Italy
773    0_
$w MED00180836 $t Studies in health technology and informatics $x 1879-8365 $g Roč. 314 (20240523), s. 3-13
856    41
$u https://pubmed.ncbi.nlm.nih.gov/38784996 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y - $z 0
990    __
$a 20240725 $b ABA008
991    __
$a 20240905134142 $b ABA008
999    __
$a ok $b bmc $g 2143595 $s 1225742
BAS    __
$a 3
BAS    __
$a PreBMC-MEDLINE
BMC    __
$a 2024 $b 314 $c - $d 3-13 $e 20240523 $i 1879-8365 $m Studies in health technology and informatics $n Stud Health Technol Inform $x MED00180836
LZP    __
$a Pubmed-20240725

Najít záznam

Citační ukazatele

Možnosti archivace