Multiagent Engineering
DOI: 10.1007/3-540-32062-8_14
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Agent-Based Patient Scheduling in Hospitals

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Cited by 40 publications
(54 citation statements)
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“…In our approach, the human schedulers are still responsible for coordination. Multi-agent approaches seem promising to solve this distributed and dynamic coordination problem [24][25][26], and are part of our current research.…”
Section: Related Workmentioning
confidence: 99%
“…In our approach, the human schedulers are still responsible for coordination. Multi-agent approaches seem promising to solve this distributed and dynamic coordination problem [24][25][26], and are part of our current research.…”
Section: Related Workmentioning
confidence: 99%
“…In order to best utilize the existing resources to raise healthcare service level, careful application of scheduling algorithms is crucial [7]. While conventional operations research methods have been found effective for scheduling related problems found in different medical units [8,9,4], most of them take the centralized approach and are not designed to be applied to decentralized situations where multiple resources at multiple hospitals are to be coordinated [5,7,2].…”
Section: Introductionmentioning
confidence: 99%
“…Multi-agent methods have found applications in a variety of problem domains, such as airport resource scheduling [3], load allocation in transportation logistics [6], supply chain management [10], etc. Recently, it has also been applied to patient scheduling in [5,7] with some initial success demonstrated. And yet, there are limitations.…”
Section: Introductionmentioning
confidence: 99%
“…Solutions based on agent technology, e.g, as described in (Paulussen et al, 2003, andPaulussen et al, 2004) are well suited to address both the dynamics and uncertainty of the domain, as well as the inherently distributed and decentralized decision making in the context of resource scheduling.…”
Section: Scheduling Of Resourcesmentioning
confidence: 99%
“…We investigate a broader set of issues and a broader set of solutions based on distributed agent technology than the resource scheduling aspects as presented in (Paulussen et al 2003). We consider other health areas where this technology could be applied, particularly in cases where agents could be used to monitor activities and policies of various actors in the system.…”
Section: Introductionmentioning
confidence: 99%