Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/41697

TitlePredicting triage waiting time in maternity emergency care by means of data mining
Author(s)Pereira, Sónia Patrícia Pinto
Torres, Luís Pedro Peixoto
Portela, Filipe
Santos, Manuel
Machado, José Manuel
Abelha, António
KeywordsData mining
Real data
Obstetrics care
Maternity care
Gynaecology and obstetrics care
Emergency room
Triage systems
Triage waiting time
Interoperability
Intelligence decision support system
Issue date2016
PublisherSpringer Verlag
JournalAdvances in Intelligent Systems and Computing
CitationPereira, S., Torres, L., Portela, F., Santos, M. F., Machado, J., & Abelha, A. (2016). Predicting Triage Waiting Time in Maternity Emergency Care by Means of Data Mining. In New Advances in Information Systems and Technologies (pp. 579-588). Springer International Publishing.
Abstract(s)Healthcare organizations often benefit from information technologies as well as embedded decision support systems, which improve the quality of services and help preventing complications and adverse events. In Centro Materno Infantil do Norte (CMIN), the maternal and perinatal care unit of Centro Hospitalar of Oporto (CHP), an intelligent pre-triage system is implemented, aiming to prioritize patients in need of gynaecology and obstetrics care in two classes: urgent and consultation. The system is designed to evade emergency problems such as incorrect triage outcomes and extensive triage waiting times. The current study intends to improve the triage system, and therefore, optimize the patient workflow through the emergency room, by predicting the triage waiting time comprised between the patient triage and their medical admission. For this purpose, data mining (DM) techniques are induced in selected information provided by the information technologies implemented in CMIN. The DM models achieved accuracy values of approximately 94% with a five range target distribution, which not only allow obtaining confident prediction models, but also identify the variables that stand as direct inducers to the triage waiting times.
TypeConference paper
URIhttp://hdl.handle.net/1822/41697
ISBN978-3-319-31306-1
978-3-319-31307-8
DOI10.1007/978-3-319-31307-8_60
ISSN2194-5357
Publisher versionhttp://link.springer.com/chapter/10.1007/978-3-319-31307-8_60
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Livros e capítulos de livros/Books and book chapters

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