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Immersive Virtual Reality Simulation for Tactical Mass-Casualty Triage: An Observational Study of Usability, Realism, and Decision-Making in RAMP Training

Published online by Cambridge University Press:  29 December 2025

Kristoffer Lie Eide*
Affiliation:
Department of Organisation, Leadership and Management, University of Inland Norway, Norway
Brad Keating
Affiliation:
Mountain View Fire Rescue, USA
Asbjørn Braastad
Affiliation:
Department of Health Sciences in Gjøvik, Norwegian University of Science and Technology, Norway
Benedicte Eckhoff
Affiliation:
Department of Health Sciences in Gjøvik, Norwegian University of Science and Technology, Norway
Inger Anne Kvam
Affiliation:
Department of Health Sciences in Gjøvik, Norwegian University of Science and Technology, Norway
Solveig Pederstrand Rise
Affiliation:
Department of Health Sciences in Gjøvik, Norwegian University of Science and Technology, Norway
Nicolai Mikkelsen Skaar
Affiliation:
Department of Health Sciences in Gjøvik, Norwegian University of Science and Technology, Norway
Inger Lund-Kordahl
Affiliation:
Department of Organisation, Leadership and Management, University of Inland Norway, Norway Department of Health Sciences in Gjøvik, Norwegian University of Science and Technology, Norway
*
Corresponding author: Kristoffer Lie Eide; Email: kristofferlieeide@gmail.com
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Abstract

Introduction

Mass casualty incidents (MCIs) in high-risk environments pose major challenges for coordinated emergency response. Training is often infrequent, resource-intensive, and lacks interagency consistency. This study explores the use of Virtual Reality (VR) simulation to train responders in the RAMP triage model across emergency services.

Methods

An observational qualitative design was used. Sixteen participants from various emergency services engaged in a VR-based MCI scenario involving 26 patients and hazardous conditions. The scenario required rapid RAMP triage based on essential cues (radial pulse and the ability to follow commands). Structured interviews followed, and data were analyzed thematically.

Results

Three themes emerged: (1) Deficiencies in current training, including inconsistent MCI protocols, lack of guideline familiarity, and limited interagency practice; (2) VR as an effective, low-resource training method enabling repeatable and safe practice—RAMP triage was found intuitive and efficient, even for non-medical personnel; and (3) prerequisites for VR implementation, such as realistic design, technical infrastructure, and stakeholder involvement to support shared understanding.

Conclusion

VR-based MCI training is a feasible and effective supplement to traditional drills. It enables scalable and flexible skill-building, though it should complement and not replace live exercises.

Information

Type
Original Research
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc
Figure 0

Figure 1. RAMP mass casualty triage algorithm. Source: Adapted from Keating et al. (2018), used with permission.5

Figure 1

Table 1. Research questions (RQs)

Figure 2

Table 2. Participant distribution by organization and example roles

Figure 3

Figure 2. Overview of the MCI.

Figure 4

Figure 3. How patients were presented in the VR scenario (text was originally presented in Norwegian, translated to English for illustration).

Figure 5

Table 3. Thematic structure summarizing main themes, subthemes, and corresponding research questions