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Addressing challenges in the emergency department with analytics and AI

  • Josh Ting
  • , Belal Alsinglawi
  • , Muhammad Nadeem Shuakat
  • , Nilmini Wickramasinghe
  • University of Melbourne
  • Swinburne University of Technology
  • Epworth HealthCare
  • La Trobe University

Research output: Chapter in Book / Conference PaperChapterpeer-review

Abstract

Especially during and as we come out of COVID-19, we are witnessing many challenges in emergency departments around the world. As such, a key focus is how to intelligently and effectively manage and improve patient flow so that clinical outcomes are optimal, patient satisfaction is high and costs are not excessive. Artificial intelligence (AI), machine learning (ML) and analytics are techniques that have been successfully utilised for great benefit in many escorts to address problems around flow and processes and thus in this chapter we investigate what might be possible in the context of the emergency department. To do this we begin with a scoping review and from this identify areas for future work and focus.
Original languageEnglish
Title of host publicationDimensions of Intelligent Analytics for Smart Digital Health Solutions
EditorsNilmini Wickramasinghe, Freimut Bodendorf, Mathias Kraus
Place of PublicationU.K.
PublisherCRC Press
Chapter12
Pages261-285
Number of pages25
ISBN (Electronic)9781003849704
ISBN (Print)9781032699738
DOIs
Publication statusPublished - 1 Jan 2024
Externally publishedYes

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