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dc.rights.licenseopenen_US
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorTRAORÉ, Mamadou Kaba
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorZACHAREWICZ, Gregory
hal.structure.identifierCentre de Coopération Internationale en Recherche Agronomique pour le Développement [Cirad]
dc.contributor.authorDUBOZ, Raphaël
hal.structure.identifierDepartment of Electrical and Computer Engineering [Tucson] [ECE]
dc.contributor.authorZEIGLER, Bernard
dc.date.accessioned2022-11-16T13:24:42Z
dc.date.available2022-11-16T13:24:42Z
dc.date.issued2018-01-01
dc.identifier.issn0037-5497en_US
dc.identifier.urihttp://agritrop.cirad.fr/588108/
dc.identifier.urioai:crossref.org:10.1177/0037549718776765
dc.identifier.uriftcirad:oai:agritrop.cirad.fr:588108
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/170296
dc.description.abstractEnRegardless of the coordination of its activities, a healthcare system is composed of a large number of distributed components that are interrelated by complex processes. Understanding the behavior of the overall system is becoming a major concern among healthcare managers and decision-makers. This paper presents a modeling and simulation framework to support a holistic analysis of healthcare systems through a stratification of the levels of abstraction into multiple perspectives and their integration in a common simulation framework. In each of the perspectives, models of different components of a healthcare system can be developed and coupled together. Concerns from other perspectives are abstracted as parameters, that is, we reflect the parameter values of other perspectives through explicit assumptions and simplifications in such models. Consequently, the resulting top model within each perspective can be coupled with its experimental frame to run simulations and derive results. Components of the various perspectives are integrated to provide a holistic view of the healthcare problem and system under study. The resulting global model can be coupled with a holistic experimental frame to derive results that cannot be accurately addressed in any of the perspectives taken alone. Furthermore, as we endeavored to allow perspective-specific experts to contribute to the modeling process, we took benefit of results originating from research efforts that Norbert Giambiasi initiated in the 2000s, which his PhD students further developed with their own PhD students.
dc.language.isoENen_US
dc.sourcecrossref
dc.sourcebase
dc.subject.enModel integration
dc.subject.enHolistic analysis
dc.subject.enHealthcare modeling and simulation
dc.subject.enExperimental frame
dc.subject.enValue-based healthcare system
dc.title.enModeling and simulation framework for value-based healthcare systems
dc.typeArticle de revueen_US
dc.identifier.doi10.1177/0037549718776765en_US
dc.subject.halInformatique [cs]/Modélisation et simulationen_US
bordeaux.journalSIMULATIONen_US
bordeaux.page481-497en_US
bordeaux.volume95en_US
bordeaux.hal.laboratoriesIMS : Laboratoire d’Intégration du Matériau au Système - UMR 5218en_US
bordeaux.issue6en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionCNRSen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcedissemin
hal.exportfalse
workflow.import.sourcedissemin
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=SIMULATION&rft.date=2018-01-01&rft.volume=95&rft.issue=6&rft.spage=481-497&rft.epage=481-497&rft.eissn=0037-5497&rft.issn=0037-5497&rft.au=TRAOR%C3%89,%20Mamadou%20Kaba&ZACHAREWICZ,%20Gregory&DUBOZ,%20Rapha%C3%ABl&ZEIGLER,%20Bernard&rft.genre=article


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