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Dynamic Communication Quantification Model for Measuring Information Management During Mass-Casualty Incident
Omer Perry1, Eli Jaffe1,2, Yuval Bitan1
126732 Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Human Factors
|July 19, 2021
Summary
A new Dynamic Communication Quantification (DCQ) model objectively measures information management for emergency medical service (EMS) leaders during mass-casualty incidents (MCIs). This model identifies critical factors contributing to information gaps, improving training simulations.
Area of Science:
- Emergency Medicine
- Information Science
- Disaster Management
Background:
- Effective information management is crucial for emergency medical service (EMS) team leaders during mass-casualty incidents (MCIs).
- Poor information management in MCIs has been linked to increased mortality.
- Current methods for evaluating information management during MCI simulations have limitations.
Purpose of the Study:
- To develop a novel model for dynamically quantifying information management.
- To identify specific factors that contribute to information gaps during MCIs.
- To enhance the effectiveness of MCI training simulations.
Main Methods:
- Development of the Dynamic Communication Quantification (DCQ) model, based on knowledge representation typology.
- Application of the DCQ model to six MCI simulations between 2014 and 2019.
- Utilizing multi point-of-view synchronized video to quantify and visualize information management.
Main Results:
- The DCQ model objectively quantified information management during MCI simulations.
- Two key factors leading to information gaps were identified: casualty consolidation and tracking of patient movement.
- Comparison with other evaluation methods confirmed the DCQ model's unique insights.
Conclusions:
- The DCQ model provides an objective measure of information management, revealing critical information gaps during MCIs.
- The model's applicability to all MCI team leaders can significantly improve training.
- This tool offers a new layer of knowledge for enhancing MCI response.
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