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

TitleKnowledge acquisition process for intelligent decision support in critical health care
Author(s)Cabral, Alexandra
Abelha, António
Salazar, Maria
Quintas, César
Portela, Filipe
Machado, José Manuel
Neves, José
Santos, Manuel Filipe
KeywordsTriage
Emergency department
Intelligent decision support system
Manchester triage system
Critical medicine
Issue date2013
PublisherIGI Global
Abstract(s)An 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.
TypeBook part
URIhttp://hdl.handle.net/1822/21710
ISBN978-1-4666-3667-5
DOI10.4018/978-1-4666-3667-5.ch004
Peer-Reviewedyes
AccessOpen access
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


Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID