Rob Brisk 1 , Raymond Bond 2 , Jun Liu 2 , Dewar Finlay 3 , James McLaughlin 3 , David McEneaney 1
July 2018
Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI)
Human Computer Interaction Conference
4 - 6 July 2018
Digital simulation, Resuscitation medicine, Artificial intelligence, Reinforcement learning
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.
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