Clinical Decision Support Systems for Triage in the Emergency Department using Intelligent Systems: a Review.

Journal: Artificial intelligence in medicine
Published Date: Nov 17, 2019

Abstract

MOTIVATION: Emergency Departments' (ED) modern triage systems implemented worldwide are solely based upon medical knowledge and experience. This is a limitation of these systems, since there might be hidden patterns that can be explored in big volumes of clinical historical data. Intelligent techniques can be applied to these data to develop clinical decision support systems (CDSS) thereby providing the health professionals with objective criteria. Therefore, it is of foremost importance to identify what has been hampering the application of such systems for ED triage.

Authors

  • Marta Fernandes
    IDMEC, Instituto Superior Técnico, Universidade de Lisboa, Portugal. Electronic address: marta.fernandes@tecnico.ulisboa.pt.
  • Susana M Vieira
    IDMEC, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal.
  • Francisca Leite
    Hospital da Luz Learning Health, Luz Saúde, Lisboa, Portugal; Católica Medical School, Universidade Católica Portuguesa, Portugal.
  • Carlos Palos
    Hospital Beatriz Ângelo, Luz Saúde, Portugal. Electronic address: Carlos.Palos@hbeatrizangelo.pt.
  • Stan Finkelstein
    MIT-IBM Watson AI Lab, Cambridge, MA, USA.
  • João M C Sousa
    IDMEC, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal.

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