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

56 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
CountryNorthern Ireland
CityBelfast
Period2/07/186/07/18

Keywords

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

Fingerprint Dive into the research topics of 'AI to enhance interactive simulation-based training in resuscitation medicine'. Together they form a unique fingerprint.

Cite this