AI to enhance interactive simulation-based training in resuscitation medicine

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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.

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APA

Brisk, R., Bond, R., Liu, J., Finlay, D., McLaughlin, J., & McEneaney, D. (2018). AI to enhance interactive simulation-based training in resuscitation medicine. In Proceedings of the 32nd International BCS Human Computer Interaction Conference, HCI 2018. BCS Learning and Development Ltd. https://doi.org/10.14236/ewic/HCI2018.64

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