@inproceedings{ff7ff71d273f454c8140b75b4be8569c,
title = "Predictive Situation Display for Emergency Medical Services: Situational Awareness in Multi-Casualty Incidents",
abstract = "The management of a multi-casualty incident (MCI) requires effective situational awareness. This paper describes the design and test of a situation display for the dispatch center of emergency medical services during the MCI. The display consists of areas showing the amount and locations of vehicles en-route to the incident area, statistics about vehicles and casualties on site, and state of hospitals and evacuating vehicles. The display also includes predictive elements. The study shows that the presence of the predictive elements facilitated more correct responses to situational awareness probes, particularly those requiring projection. In addition, the findings show that the predictive elements facilitated more correct responses to situation management questions.",
keywords = "Emergency Medical Services, Multi-casualty Incident, Predictive display, Situational awareness",
author = "Avi Parush and Shani Laendler and Adva Springer and Ruth Libkind and Eli Jaffee",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2020 ; Conference date: 24-08-2020 Through 28-08-2020",
year = "2020",
month = aug,
day = "1",
doi = "10.1109/CogSIMA49017.2020.9216126",
language = "English",
series = "Proceedings - 2020 IEEE International Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2020",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "106--112",
editor = "Galina Rogova and Nicolette McGeorge and Alicia Ruvinsky and Scott Fouse and Mary Freiman",
booktitle = "Proceedings - 2020 IEEE International Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2020",
address = "United States",
}