NDLI: A Multiagent Approach to Ambulance Allocation Based on Social Welfare and Local Search

Content Provider	IEEE Xplore Digital Library
Author	Shaft, D. Cohen, R.
Copyright Year	2013
Description	Author affiliation: Cheriton Sch. of Comput. Sci., Univ. of Waterloo, Waterloo, ON, Canada (Shaft, D.; Cohen, R.)
Abstract	During a mass casualty incident, there will be many victims who need to be driven in an ambulance to a hospital. Reasoning about which patients to assign to which hospitals can be viewed as a multiagent resource allocation issue. The approach taken in this paper is to view this as a constraint satisfaction problem that should also be sensitive to a chosen social welfare metric. Our proposed algorithm employing local search is presented and then implemented in a series of simulations which experiment with different social welfare functions. The initial state used in the search is identified as a factor in the results. Moreover, a global view of the scenario helps to decide the appropriate strategies. We conclude with a discussion of next steps for multiagent resource allocation problems during mass casualty incidents. In short, we offer a more reasoned approach for ambulance allocation that may provide guidance for effective healthcare delivery.
Sponsorship	IEEE Syst., Man, Cybern. Soc.
Starting Page	384
Ending Page	389
File Size	495980
Page Count	6
File Format	PDF
ISBN	9780769551449
DOI	10.1109/ICMLA.2013.153
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hospitals social welfare Cost function Search problems Educational institutions optimized utilization of resources Resource management intelligent health decision support systems Injuries ambulance scheduling
Content Type	Text
Resource Type	Article

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