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    AI to enhance interactive simulation-based training in resuscitation medicine

    HCI 2018

    Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI 2018)

    Belfast, UK, 4 - 6 July 2018

    AUTHORS

    Rob Brisk, Raymond Bond, Jun Liu, Dewar Finlay, James McLaughlin & David McEneaney

    ABSTRACT

    http://dx.doi.org/10.14236/ewic/HCI2018.64

    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 resourceintensive 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.

    PAPER FORMATS

    PDF filePDF Version of this Paper (391kb)