Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/21710

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dc.contributor.authorCabral, Alexandra-
dc.contributor.authorAbelha, António-
dc.contributor.authorSalazar, Maria-
dc.contributor.authorQuintas, César-
dc.contributor.authorPortela, Filipe-
dc.contributor.authorMachado, José Manuel-
dc.contributor.authorNeves, José-
dc.contributor.authorSantos, Manuel Filipe-
dc.date.accessioned2012-12-18T17:09:10Z-
dc.date.available2012-12-18T17:09:10Z-
dc.date.issued2013-
dc.identifier.isbn978-1-4666-3667-5-
dc.identifier.urihttp://hdl.handle.net/1822/21710-
dc.description.abstractAn efficient triage system is a good way to avoid some future problems and, how much quicker it is, more the patient can benefit. However, a limitation still exists, the triage system are general and not specific to each case. Manchester Triage System is a reliable known system and is focused in the emergency department of a hospital. When applied to specific patients’ conditions, such the pregnancy has several limitations. To overcome those limitations, an alternative triage system, integrated into an intelligent decision support system, was developed. The system classifies patients according to the severity of their clinical condition, establishing clinical priorities and not diagnosis. According to the woman urgency of attendance or problem type, it suggests one of the three possible categories of the triage. This paper presents the overall knowledge acquisition cycle associated to the workflow of patient arrival and the inherent decision making process. Results showed that this new approach enhances the efficiency and the safety through the appropriate use of resources and by assisting the right patient in the right place, reducing the waiting triage time and the number of women in general urgency.por
dc.description.sponsorshipFundação para a Ciência e a Tecnologia (FCT)por
dc.language.isoengpor
dc.publisherIGI Globalpor
dc.rightsopenAccess-
dc.subjectTriagepor
dc.subjectEmergency departmentpor
dc.subjectIntelligent decision support systempor
dc.subjectManchester triage systempor
dc.subjectCritical medicinepor
dc.titleKnowledge acquisition process for intelligent decision support in critical health carepor
dc.typebookPartpor
dc.peerreviewedyespor
sdum.publicationstatuspublishedpor
oaire.citationStartPage55por
oaire.citationEndPage68por
oaire.citationTitleInformation Systems and Technologies for Enhancing Health and Social.por
dc.identifier.doi10.4018/978-1-4666-3667-5.ch004por
sdum.bookTitleInformation Systems and Technologies for Enhancing Health and Social Carepor
Appears in Collections:CAlg - Livros e capítulos de livros/Books and book chapters
DI/CCTC - Livros e Capítulos de livros
DSI - Engenharia e Gestão de Sistemas de Informação


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