A Framework for Mass Casualties Incident Commander Simulation

Acquiring the required skills to manage a Mass-Casualty Incident (MCI) as an Incident Commander (IC) in the prehospital phase is a challenging learning process. Current simulation methods provide basic declarative and procedural knowledge but need to be improved in their ability to lead to knowledge automatization. This paper proposes a new training simulation framework to assess, measure, and provide feedback on IC management, clinical, and decision-making, information-management and communication skills. Three different models were integrated into this simulation framework: A mathematical model for casualties’ survivability, the IC dual-process model, and the dynamic communication quantification model. A case study was generated to demonstrate the ability of the framework to differentiate between users with different skill levels. Combining the simulation framework into qualification courses and routine training can improve and enhance the skills required to perform the IC role in real MCIs and hopefully increase casualties’ survivability in real MCIs.

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Publication Details

Journal
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Published
2025-05-08
DOI
https://doi.org/10.1177/10711813251340903
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

A Framework for Mass Casualties Incident Commander Simulation

Yuval Bitan, Omer Perry, Eli Jaffe, Avishay Goldberg
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Human-Automation Interaction and Safety
article

A Framework for Mass Casualties Incident Commander Simulation

Yuval Bitan, Omer Perry, Eli Jaffe, Avishay Goldberg
article en

Abstract

Acquiring the required skills to manage a Mass-Casualty Incident (MCI) as an Incident Commander (IC) in the prehospital phase is a challenging learning process. Current simulation methods provide basic declarative and procedural knowledge but need to be improved in their ability to lead to knowledge automatization. This paper proposes a new training simulation framework to assess, measure, and provide feedback on IC management, clinical, and decision-making, information-management and communication skills. Three different models were integrated into this simulation framework: A mathematical model for casualties’ survivability, the IC dual-process model, and the dynamic communication quantification model. A case study was generated to demonstrate the ability of the framework to differentiate between users with different skill levels. Combining the simulation framework into qualification courses and routine training can improve and enhance the skills required to perform the IC role in real MCIs and hopefully increase casualties’ survivability in real MCIs.

Proceedings of the Human Factors and Ergonomics Society Annual MeetingVol. 69(1)
Ben-Gurion University of the Negev (IL), Magen David Adom (IL)
Openalex Percentile: Top 89%
Human-Automation Interaction and Safety
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