Show simple item record

dc.contributor.authorKhanna, Sankalpen_US
dc.contributor.authorCleaver, Timen_US
dc.contributor.authorSattar, Abdulen_US
dc.contributor.authorHansen, Daviden_US
dc.contributor.authorStantic, Belaen_US
dc.contributor.editorRandy Goebel, Jorg Siekmann, Wolfgang Wahlsteren_US
dc.date.accessioned2017-05-03T11:26:38Z
dc.date.available2017-05-03T11:26:38Z
dc.date.issued2012en_US
dc.date.modified2012-09-20T22:26:22Z
dc.identifier.issn03029743en_US
dc.identifier.doi10.1007/978-3-642-25920-3_6en_US
dc.identifier.urihttp://hdl.handle.net/10072/46917
dc.description.abstractScheduling 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.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.languageEnglishen_US
dc.publisherSpringer-Verlagen_US
dc.publisher.placeGermanyen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofpagefrom74en_US
dc.relation.ispartofpageto89en_US
dc.relation.ispartofjournalLecture Notes In Computer Scienceen_US
dc.relation.ispartofvolume7057en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchArtificial Intelligence and Image Processing not elsewhere classifieden_US
dc.subject.fieldofresearchcode080199en_US
dc.titleMultiagent Based Scheduling of Elective Surgeryen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Sciences, School of Information and Communication Technologyen_US
gro.date.issued2012
gro.hasfulltextNo Full Text


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record