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Predicting Triage Waiting Time in Maternity Emergency Care by Means of Data Mining

  • Sónia Pereira
  • Luís Torres
  • Filipe PortelaEmail author
  • Manuel F. Santos
  • José Machado
  • António Abelha
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 445)

Abstract

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.

Keywords

Data mining Real data Obstetrics care Maternity care Gynaecology and obstetrics care Emergency room Triage systems Triage waiting time Interoperability Intelligence decision support system 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Sónia Pereira
    • 1
  • Luís Torres
    • 1
  • Filipe Portela
    • 1
    • 2
    Email author
  • Manuel F. Santos
    • 1
  • José Machado
    • 1
  • António Abelha
    • 1
  1. 1.Algoritmi CentreUniversity of MinhobragaPortugal
  2. 2.ESEIGPorto PolytechnicPortoPortugal

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