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Knowledge Acquisition Process for Intelligent Decision Support in Critical Health Care
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Author(s): Filipe Portela (University of Minho, Portugal), Alexandra Cabral (SPMS, Portugal), António Abelha (University of Minho, Portugal), Maria Salazar (Centro Hospitalar do Porto – HSA, Portugal), César Quintas (Centro Hospitalar do Porto – HSA, Portugal), José Machado (University of Minho, Portugal), José Neves (University of Minho, Portugal)and Manuel Filipe Santos (University of Minho, Portugal)
Copyright: 2015
Pages: 15
Source title:
Healthcare Administration: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-6339-8.ch015
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Abstract
An efficient triage system is a good way to avoid some future problems and benefit the patient. However, a limitation still exists. The triage system is 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 as pregnancy), it 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 urgency of attendance or problem type, it suggests one of three possible categories of the triage. This chapter presents the overall knowledge acquisition cycle associated with the workflow of patient arrival and the inherent decision making process. Results show 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 in general urgency.
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