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Estimating the value of casualty health information to optimization-based decision support in response to major incidents
Duncan T. Wilson
Glenn I. Hawe
Graham Coates
Roger S. Crouch
L. Rothkrantz, J.R., Z.Franco
In this paper we describe a work-in-progress decision support program designed for use in the response to major incidents in the UK. The proposed program is designed for use in a continuous fashion, where the updating of its model, the search for solutions to the model through an optimization algorithm, and the issuing of these solutions are carried out concurrently. The model facilitates the inclusion of dynamic and uncertain features of emergency response. The potential of such an approach to deliver high-quality response plans through enabling more accurate modeling is evaluated through focusing on the case of casualty health information. Computational experiments show there is significant value in monitoring the dynamic and uncertain health progression of casualties and updating the model accordingly. © 2012 ISCRAM.
urn:ISBN:9780864913326
openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fidl.iscram.org%2F&genre=proceeding&title=Estimating%20the%20value%20of%20casualty%20health%20information%20to%20optimization-based%20decision%20support%20in%20response%20to%20major%20incidents&stitle=ISCRAM%202012&issn=2411-3387&isbn=9780864913326&date=2012&aulast=Duncan%20T.%20Wilson&au=Glenn%20I.%20Hawe&au=Graham%20Coates&au=Roger%20S.%20Crouch&pub=Simon%20Fraser%20University&place=Vancouver%2C%20BC&sid=refbase%3AISCRAM
url:http://idl.iscram.org/show.php?record=240
citekey:DuncanT.Wilson_etal2012
citation:Duncan T. Wilson, Glenn I. Hawe, Graham Coates, & Roger S. Crouch. (2012). Estimating the value of casualty health information to optimization-based decision support in response to major incidents. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
2012
ConferencePaper
text
Algorithms
Combinatorial optimization
Decision support systems
Information systems
Optimization
Accurate modeling
Computational experiment
Decision supports
Emergency response
Health informations
Optimization algorithms
Uncertain features
Work-in-progress
Emergency services
file:http://idl.iscram.org/files/wilson/2012/240_Wilson_etal2012.pdf
Simon Fraser University
English
2411-3387
ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management
2012
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