SEMPATH: Semantic adaptive and personalized clinical pathways

Alexandrou, D; Xenikoudakis, F; Mentzas, G

dc.contributor.author	Alexandrou, D	en
dc.contributor.author	Xenikoudakis, F	en
dc.contributor.author	Mentzas, G	en
dc.date.accessioned	2014-03-01T02:46:31Z
dc.date.available	2014-03-01T02:46:31Z
dc.date.issued	2009	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32687
dc.subject	Adaptive clinical pathways	en
dc.subject	Adaptive treatment	en
dc.subject	Pathway dynamic reconfiguration	en
dc.subject	Personalized treatment	en
dc.subject	Semantic rule-set	en
dc.subject	Semantics	en
dc.subject.other	Adaptive clinical pathways	en
dc.subject.other	Adaptive treatment	en
dc.subject.other	Pathway dynamic reconfiguration	en
dc.subject.other	Personalized treatment	en
dc.subject.other	Semantic rule-set	en
dc.subject.other	Dynamic models	en
dc.subject.other	Information theory	en
dc.subject.other	Ontology	en
dc.subject.other	Semantics	en
dc.subject.other	Telemedicine	en
dc.subject.other	Patient treatment	en
dc.title	SEMPATH: Semantic adaptive and personalized clinical pathways	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/eTELEMED.2009.28	en
heal.identifier.secondary	http://dx.doi.org/10.1109/eTELEMED.2009.28	en
heal.identifier.secondary	4782629	en
heal.publicationDate	2009	en
heal.abstract	As scientific achievements in the area of Healthcare have increased during the last decade, inevitably there has been an increase of treatment quality. One of the challenges to be confronted is the personalization of treatment. The personalization requires the continuous reconfiguration of the treatment schemes since the clinical status of each patient and circumstances inside a healthcare organization constantly change. In this paper we present a prototype that provides an IT solution concerning the real-time adaptation of healthcare processes. The software comprises a healthcare process execution engine assisted by a semantic info-structure for reconfiguring the pathways. The semantic info-structure utilizes an ontology enclosing the required knowledge and a semantic rule-set. During the execution of clinical pathways, the system reasons over the rules, the knowledge and information, and reconfigures the next steps of the treatment. The results of the rule-set execution may generate knowledge objects to be inserted in the ontology. © 2009 IEEE.	en
heal.journalName	Proceedings - International Conference on eHealth, Telemedicine, and Social Medicine, eTELEMED 2009	en
dc.identifier.doi	10.1109/eTELEMED.2009.28	en
dc.identifier.spage	36	en
dc.identifier.epage	41	en