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Digitised remote delivery of simulation in psychiatry during the pandemic and for the future
Published online by Cambridge University Press: 01 September 2022
Abstract
Surrey and Borders NHS Foundation Trust’s AVATr (Augmented Virtual-reality Avatar in Training) is a unique ground-breaking Virtual Patient simulation system, which uses the Xenodu platform to train learners in essential clinical and complex communication skills. Over 30 patient scenarios have been developed after identifying learner-specific development needs, including exploration of overt psychosis, assessment of capacity, sharing bad news, and neglect in care home residents.
During the session, the trainee is projected on to a large screen, using a camera and video special effects, which results in a life-like interaction with the Virtual Patient. Trainees can view themselves interacting with the Virtual Patient in real-time, from a unique ’out-of-body’ perspective, immersed in a customdesigned interactive virtual environment. This is different to a first-person perspective used in virtual or augmented-reality systems in several clinical specialties. During the COVID-19 pandemic, we evolved the AVATr model to remote or hybrid sessions, where simulations were digitally enhanced, and have been run through Microsoft Teams. The simulation facilitator is connected to a multi-user video call, enabling the Virtual Patient to be projected as an attendee using Microsoft Teams.
To evaluate the feedback from Doctors in training taking part on the education sessions.
We collected qualitiative and quanttaive infromation from participants after the teaching session.
We received strongly positive reults in all parameters measured. the presenters will show a detailed breakdoen in the session.
The digitalised delivery of the virtual patient simulation, has been pivotal in limiting interruptions to communication skills training in mental health.
The NHS trust has co produced the simulation platform with a private software firm Xenadu Virtual Environments
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- Abstract
- Information
- European Psychiatry , Volume 65 , Special Issue S1: Abstracts of the 30th European Congress of Psychiatry , June 2022 , pp. S199
- Creative Commons
- This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Copyright
- © The Author(s), 2022. Published by Cambridge University Press on behalf of the European Psychiatric Association
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