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 conferencePaper

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.
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

Fingerprint

Resuscitation
Medicine
Artificial Intelligence
Physics
Delivery of Health Care
Costs and Cost Analysis
Simulation Training

Keywords

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

Cite this

Brisk, R., Bond, RR., Liu, J., Finlay, D., McLaughlin, J., & McEneaney, D. (Accepted/In press). AI to enhance interactive simulation-based training in resuscitation medicine. 1-4. Paper presented at British HCI Conference 2018, Belfast, Northern Ireland. https://doi.org/10.14236/ewic/HCI2018.64
Brisk, Rob ; Bond, RR ; Liu, J. ; Finlay, D ; McLaughlin, James ; McEneaney, David. / AI to enhance interactive simulation-based training in resuscitation medicine. Paper presented at British HCI Conference 2018, Belfast, Northern Ireland.4 p.
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Brisk, R, Bond, RR, Liu, J, Finlay, D, McLaughlin, J & McEneaney, D 2018, 'AI to enhance interactive simulation-based training in resuscitation medicine' Paper presented at British HCI Conference 2018, Belfast, Northern Ireland, 2/07/18 - 6/07/18, pp. 1-4. https://doi.org/10.14236/ewic/HCI2018.64

AI to enhance interactive simulation-based training in resuscitation medicine. / Brisk, Rob; Bond, RR; Liu, J.; Finlay, D; McLaughlin, James; McEneaney, David.

2018. 1-4 Paper presented at British HCI Conference 2018, Belfast, Northern Ireland.

Research output: Contribution to conferencePaper

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Brisk R, Bond RR, Liu J, Finlay D, McLaughlin J, McEneaney D. AI to enhance interactive simulation-based training in resuscitation medicine. 2018. Paper presented at British HCI Conference 2018, Belfast, Northern Ireland. https://doi.org/10.14236/ewic/HCI2018.64