AI to enhance interactive simulation-based training in resuscitation medicine

Rob Brisk, RR Bond, J. Liu, D Finlay, James McLaughlin, David McEneaney

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)
116 Downloads (Pure)

Abstract

When patients become acutely unwell, the ability of frontline healthcare professionals to act quickly and effectively can mean the difference between life and death. High-fidelity simulation is the gold standard by which medics acquire and maintain key resuscitation skills, but the resource- intensive nature of current, face-to-face training limits access to training and allows “skills fade” to creep in. We propose that human computer interaction-based simulations augmented by artificial intelligence could provide a cost-effective alternative to traditional training and allow clinicians much greater access to training. This paper is mostly an in-depth discussion; however, we also present a 3D simulator for resuscitation skills training which we developed using the Unity games physics engine.
Original languageEnglish
Pages1-4
Number of pages4
DOIs
Publication statusAccepted/In press - 10 May 2018
EventBritish HCI Conference 2018 - Belfast, Belfast, Northern Ireland
Duration: 2 Jul 20186 Jul 2018

Conference

ConferenceBritish HCI Conference 2018
Abbreviated titleBHCI2018
Country/TerritoryNorthern Ireland
CityBelfast
Period2/07/186/07/18

Keywords

  • AI
  • medicine
  • training
  • simulation-based traininig
  • virtual worlds
  • simuation
  • ED
  • Emergency Department

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