Measuring the Amounts of Information During Mass Casualty Incidents

Perry, Omer; Jaffe, Eli; Bitan, Yuval

doi:10.1177/2327857919081068

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…resolved any disagreement between the other two. This data collection and analysis approach was presented at the International Symposium on Human Factors and Ergonomics in Health Care 2019 (Perry et al, 2019).…”

Section: Methodsmentioning

confidence: 99%

Dynamic Communication Quantification Model for Measuring Information Management During Mass-Casualty Incident Simulations

2021

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Objective To develop a new model to quantify information management dynamically and to identify factors that lead to information gaps. Background Information management is a core task for emergency medical service (EMS) team leaders during the prehospital phase of a mass-casualty incident (MCI). Lessons learned from past MCIs indicate that poor information management can lead to increased mortality. Various instruments are used to evaluate information management during MCI training simulations, but the challenge of measuring and improving team leaders’ abilities to manage information remains. Method The Dynamic Communication Quantification (DCQ) model was developed based on the knowledge representation typology. Using multi point-of-view synchronized video, the model quantifies and visualizes information management. It was applied to six MCI simulations between 2014 and 2019, to identify factors that led to information gaps, and compared with other evaluation methods. Results Out of the three methods applied, only the DCQ model revealed two factors that led to information gaps: first, consolidation of numerous casualties from different areas, and second, tracking of casualty arrivals to the medical treatment area and departures from the MCI site. Conclusion The DCQ model allows information management to be objectively quantified. Thus, it reveals a new layer of knowledge, presenting information gaps during an MCI. Because the model is applicable to all MCI team leaders, it can make MCI simulations more effective. Application This DCQ model quantifies information management dynamically during MCI training simulations.

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Section: Methodsmentioning

confidence: 99%

Dynamic Communication Quantification Model for Measuring Information Management During Mass-Casualty Incident Simulations

2021

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“…A mass-casualty incident (MCI) is an emergency in which the number of casualties exceeds the available medical resources (Einav et al, 2004; Rimstad & Braut, 2015; Rimstad & Sollid, 2015). Managing the pre-hospital response of emergency medical services (EMS) is a challenge for MCI commanders and requires them to cope with a lack (Rimstad & Sollid, 2015) or excessive amount of information and limited resources (Perry, Jaffe, & Bitan, 2019). Thus, improving the MCI commander’s decision-making process is vital, and exploring the differences between novice and expert commanders’ decision-making processes can potentially improve novice commanders’ training.…”

Section: Introductionmentioning

confidence: 99%

Mass Casualty Incident Commander Decision-Making Models: Novice vs. Expert Decision Making

Perry,

Goldberg,

Jaffe

et al. 2023

Proceedings of the Human Factors and Ergonomics Society Annual

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Introduction: Managing a mass-casualty incident (MCI) challenges commanders in the pre-hospital phase. Exploring the differences between the decision-making processes of novice and expert commanders can reveal how to improve training. This study aims to compare the decision-making processes between paramedic students and veteran paramedics. Methods: Data from eight MCI field simulations of paramedic students with no experience, and one simulation of a veteran paramedic were collected. Results: In the first phase of the simulation, both the students and the veteran paramedic followed the MCI protocol. From the second phase, the paramedic students mostly responded to received cues, while the veteran paramedic initiated actions without preliminary cues. Discussion: The veteran paramedic initiates actions and utilizes "considered" decision-making process earlier than the students, that frequently acted in response to cues. Although these results are based on a small sample, this study indicates a difference between novice and expert commanders’ decision-making processes.

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Measuring the Amounts of Information During Mass Casualty Incidents

Cited by 2 publications

References 4 publications

Dynamic Communication Quantification Model for Measuring Information Management During Mass-Casualty Incident Simulations

Dynamic Communication Quantification Model for Measuring Information Management During Mass-Casualty Incident Simulations

Mass Casualty Incident Commander Decision-Making Models: Novice vs. Expert Decision Making

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