2013
Portela, F.; Cabral, A.; Abelha, A.; Salazar, M.; Quintas, C.; Machado, J.; Neves, J.; Santos, M. F.
Knowledge acquisition process for intelligent decision support in critical health care Book Chapter
Em: pp. 55-68, IGI Global, 2013, ISBN: 9781466636682; 146663667X; 9781466636675, (cited By 23).
Resumo | Links | BibTeX | Etiquetas: Clinical conditions; Decision making process; Emergency departments; Intelligent decision support; Intelligent decision support systems; Manchester; New approaches; Patients' conditions, Decision making; Diagnosis; Hospitals; Knowledge acquisition, Decision support systems
@inbook{Portela201355,
title = {Knowledge acquisition process for intelligent decision support in critical health care},
author = {F. Portela and A. Cabral and A. Abelha and M. Salazar and C. Quintas and J. Machado and J. Neves and M. F. Santos},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898101050&doi=10.4018%2f978-1-4666-3667-5.ch004&partnerID=40&md5=af2425c3e5775e5d88d36e3e76372ffb},
doi = {10.4018/978-1-4666-3667-5.ch004},
isbn = {9781466636682; 146663667X; 9781466636675},
year = {2013},
date = {2013-01-01},
journal = {Information Systems and Technologies for Enhancing Health and Social Care},
pages = {55-68},
publisher = {IGI Global},
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. © 2013, IGI Global.},
note = {cited By 23},
keywords = {Clinical conditions; Decision making process; Emergency departments; Intelligent decision support; Intelligent decision support systems; Manchester; New approaches; Patients' conditions, Decision making; Diagnosis; Hospitals; Knowledge acquisition, Decision support systems},
pubstate = {published},
tppubtype = {inbook}
}
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. © 2013, IGI Global.