Multiagent Based Scheduling of Elective Surgery

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Title Multiagent Based Scheduling of Elective Surgery
Author Khanna, Sankalp; Cleaver, Tim William; Sattar, Abdul; Hansen, David; Stantic, Bela
Journal Name Lecture Notes in Computer Science
Editor Randy Goebel, Jorg Siekmann, Wolfgang Wahlster
Year Published 2012
Place of publication Germany
Publisher Springer-Verlag
Abstract Scheduling of patients, staff, and resources for elective surgery in an under-resourced and overburdened public health system represents an inherently distributed class of problems. The complexity and dynamics of interacting factors demand a flexible, reactive and timely solution, in order to achieve a high level of utilization. In this paper, we present an Automated Scheduler for Elective Surgery (ASES) wherein we model the problem using the multiagent systems paradigm. ASES is designed to reflect and complement the existing manual methods of elective surgery scheduling, while offering efficient mechanisms for negotiation and optimization. Inter-agent negotiation in ASES is powered by a distributed constraint optimization algorithm. This strategy provides hospital departments with control over their individual schedules while ensuring conflict free optimal scheduling. We evaluate ASES to demonstrate the feasibility of our approach and demonstrate the effect of fluctuation in staffing levels on theatre utilization. We also discuss ongoing development of the system, mapping key challenges in the journey towards deployment.
Peer Reviewed Yes
Published Yes
Alternative URI
Volume 7057
Page from 74
Page to 89
ISSN 0302-9743
Date Accessioned 2012-02-23; 2012-09-20T22:26:22Z
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Artificial Intelligence and Image Processing
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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