Applications of natural language processing at emergency department triage: A narrative review.

Journal: PloS one
Published Date: Dec 14, 2023

Abstract

INTRODUCTION: Natural language processing (NLP) uses various computational methods to analyse and understand human language, and has been applied to data acquired at Emergency Department (ED) triage to predict various outcomes. The objective of this scoping review is to evaluate how NLP has been applied to data acquired at ED triage, assess if NLP based models outperform humans or current risk stratification techniques when predicting outcomes, and assess if incorporating free-text improve predictive performance of models when compared to predictive models that use only structured data.

Authors

  • Jonathon Stewart
    Royal Perth Hospital, Perth, Western Australia, Australia.
  • Juan Lu
    Yunnan Agricultural University, Kunming, China.
  • Adrian Goudie
    Department of Emergency Medicine, Fiona Stanley Hospital, Murdoch, Western Australia, Australia.
  • Glenn Arendts
    School of Medicine, The University of Western Australia, Crawley, Western Australia, Australia.
  • Shiv Akarsh Meka
    HIVE & Data and Digital Innovation, Royal Perth Hospital, Perth, Western Australia, Australia.
  • Sam Freeman
    Department of Emergency Medicine, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia.
  • Katie Walker
    School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria, Australia.
  • Peter Sprivulis
    Royal Perth Hospital, Perth, Western Australia, Australia.
  • Frank Sanfilippo
    School of Population and Global Health, University of Western Australia, Crawley, Western Australia, Australia.
  • Mohammed Bennamoun
    School of Physics, Mathematics and Computing, University of Western Australia, Australia.
  • Girish Dwivedi
    Department of Medicine, The University of Western Australia, 35 Stirling Highway, CRAWLEY Western Australia 6009, Australia.

Keywords

External Resources

Popular Topics
Recent Journals