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Utility-theoretic training for mass casualty incidents
Steven R. Haynes
author
Mark J. Jermusyk
author
Frank E. Ritter
author
2014
The Pennsylvania State University
University Park, PA
English
This paper describes an approach to training emergency responders for mass casualty incidents. The approach is derived from a methodology and supporting software system called Summit. The Summit approach uses an integration of scenarios, hierarchical task analysis, interaction modeling, and expected utility theory to represent how actors engage in complex tasks; here we model mass casualty incident (MCI) activities supported by interactive technologies. Our goal is to ground MCI training in realistic scenarios and to demonstrate required response capabilities through associated hierarchical task analyses (HTA). The terminal nodes in an HTA are interactions, that provide a fine-grained model of the actors, technologies, data, and methods involved in realizing the required capability. The components of an interaction may have associated utility factors (benefits, costs, and risks) that provide learners with a rationale-based resource for understanding how different technologies are used to support MCI response efforts. Assessment of the approach is underway within a local EMS organization.
Information systems
Job analysis
Emergency responders
Emergency response
Expected utility theory
Hierarchical task analysis
Interactive technology
Mass casualty incidents
Response capability
Task analysis
Emergency services
exported from refbase (http://idl.iscram.org/show.php?record=564), last updated on Tue, 04 Aug 2015 12:32:22 +0200
text
http://idl.iscram.org/files/haynes/2014/564_Haynes_etal2014.pdf
StevenR.Haynes_etal2014
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management
ISCRAM 2014
S.R. Hiltz
M
S
Pfaff
editor
11th International ISCRAM Conference on Information Systems for Crisis Response and Management
2014
The Pennsylvania State University
University Park, PA
conference publication
473
482
9780692211946
2411-3387
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