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Virtual Reality Simulation for Assessment of Hemorrhage Control and SALT Triage Accuracy in First Responders

Published online by Cambridge University Press:  31 October 2024

Nicholas E Kman
Affiliation:
The Ohio State University, Columbus, OH, USA
Ashish R Panchal
Affiliation:
The Ohio State University, Columbus, OH, USA
Jeremy Patterson
Affiliation:
The Ohio State University, Columbus, OH, USA
Douglas Danforth
Affiliation:
The Ohio State University, Columbus, OH, USA
Ashutosh Mani
Affiliation:
Big Bear AI, Columbia, MD, USA
David Babbitt
Affiliation:
Big Bear AI, Columbia, MD, USA
Jacob N Hyde
Affiliation:
Warfighter Consulting, Scottsdale, AZ, USA
Brian Pippen
Affiliation:
CACI, Inc, Annapolis Junction, MD, USA
Ewart de Visser
Affiliation:
de Visser Research, Springfield, VA, USA
Jennifer McVay
Affiliation:
CACI, Inc, Annapolis Junction, MD, USA
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Abstract

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Objective

Hemorrhage control, triage efficiency, and triage accuracy are essential skills for optimal outcomes in mass casualty incidents. This study evaluated user application of skills through a Virtual Reality (VR) simulation of a subway bombing.

Methods

EMS clinicians and healthcare professionals engaged in a VR simulation of a bomb/blast scenario utilizing VRFirstResponder, a high-fidelity, fully immersive, automated, customizable, and programmable VR simulation platform. Metrics including time to control life-threatening hemorrhage and triage efficacy were analyzed using median and interquartile ranges (IQR).

Results

389 EMS responders engaged in this high-fidelity VR simulation encountering 11 virtual patients with varying injury severity. The median time to triage the scene was 7:38 minutes (SD = 2:27, IQR = 6:13, 8:59). A robust 93% of participants successfully implemented all required hemorrhage control, with a median time of 3:51 minutes for life-threatening hemorrhage control (SD = 1:44, IQR = 2:41, 4:52). Hemorrhage control per patient took a median of 11 seconds (SD = 0:47, IQR = 0:06, 0:20). Participants accurately tagged 73% of patients and 17% effectively utilized the SALT sort commands for optimal patient evaluation.

Conclusion

The VRFirstResponder simulation, currently under validation, aims to enhance realism by incorporating distractors and refining assessment tools.

Type
Abstract
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc
Supplementary material: File

Kman et al. supplementary material

Kman et al. supplementary material
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