ArticleHuman factors2022
Dynamic Communication Quantification Model for Measuring Information Management During Mass-Casualty Incident Simulations.
Article in Human factors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Digital coordination in mass casualty incidents: a retrospective analysis of prehospital distribution times before and after IVENA-MANV implementation.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026Observational
- A real-time communication and information system for triage, positioning, and documentation (TriPoD) in mass-casualty incidents: a qualitative observational study.BMC emergency medicine · 2025Observational
- Mass Casualty Incident Training in Immersive Virtual Reality: Quasi-Experimental Evaluation of Multimethod Performance Indicators.Journal of medical Internet research · 2025Article
- Cloud computing convergence: integrating computer applications and information management for enhanced efficiency.Frontiers in big data · 2025Article
- Key performance indicators in pre-hospital response to disasters and mass casualty incidents: a scoping review.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024Article
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Authors and funding
3 authors.
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Abstract
objectiveTo develop a new model to quantify information management dynamically and to identify factors that lead to information gaps.
backgroundInformation 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.
methodThe 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.
resultsOut 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.
conclusionThe 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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