2011
Cabral, A.; Pina, C.; Machado, H.; Abelha, A.; Salazar, M.; Quintas, C.; Portela, C. F.; Machado, J.; Neves, J.; Santos, M. F.
Data acquisition process for an intelligent decision support in gynecology and obstetrics emergency triage Proceedings Article
Em: pp. 223-232, Vilamoura, 2011, ISSN: 18650929, (cited By 9; Conference of International Conference on Enterprise Information Systems, CENTERIS 2011 ; Conference Date: 5 October 2011 Through 7 October 2011; Conference Code:86917).
Resumo | Links | BibTeX | Etiquetas: Acquisition process; Decision models; Emergency departments; Intelligent decision support; Intelligent decision support systems; Manchester; Patient safety; Reliable systems; Triage, Artificial intelligence; Decision support systems; Emergency rooms; Knowledge acquisition; Obstetrics, Information systems
@inproceedings{Cabral2011223,
title = {Data acquisition process for an intelligent decision support in gynecology and obstetrics emergency triage},
author = {A. Cabral and C. Pina and H. Machado and A. Abelha and M. Salazar and C. Quintas and C. F. Portela and J. Machado and J. Neves and M. F. Santos},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-80054072367&doi=10.1007%2f978-3-642-24352-3_24&partnerID=40&md5=cc683ed622228453b4999c2a17a96a86},
doi = {10.1007/978-3-642-24352-3_24},
issn = {18650929},
year = {2011},
date = {2011-01-01},
journal = {Communications in Computer and Information Science},
volume = {221 CCIS},
number = {PART 3},
pages = {223-232},
address = {Vilamoura},
abstract = {Manchester Triage System is a reliable system of triage in the emergency department of a hospital. This system when applied to a specific patients' condition such the pregnancy has several limitations. To overcome those limitations an alternative triage IDSS was developed in the MJD. In this approach the knowledge was obtained directly from the doctors' empirical and scientific experience to make the first version of decision models. Due to the particular gynecological and/or obstetrics requests other characteristics had been developed, namely a system that can increase patient safety for women in need of immediate care and help low-risk women avoid high-risk care, maximizing the use of resources. This paper presents the arrival flowchart, the associated decisions and the knowledge acquisition cycle. 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. © 2011 Springer-Verlag.},
note = {cited By 9; Conference of International Conference on Enterprise Information Systems, CENTERIS 2011 ; Conference Date: 5 October 2011 Through 7 October 2011; Conference Code:86917},
keywords = {Acquisition process; Decision models; Emergency departments; Intelligent decision support; Intelligent decision support systems; Manchester; Patient safety; Reliable systems; Triage, Artificial intelligence; Decision support systems; Emergency rooms; Knowledge acquisition; Obstetrics, Information systems},
pubstate = {published},
tppubtype = {inproceedings}
}