Agent-based patient admission scheduling in hospitals
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: industrial track
Adaptive Optimization of Hospital Resource Calendars
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Coordinating Competitive Agents in Dynamic Airport Resource Scheduling
MATES '07 Proceedings of the 5th German conference on Multiagent System Technologies
Proceedings of the 3rd ACM International Workshop on Context-Awareness for Self-Managing Systems
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We present a dynamic and distributed approach to the hospital patient scheduling problem: the multi-agent Pareto-improvement appointment exchanging algorithm, MPAEX. It respects the decentralization of scheduling authorities and is capable of continuously adjusting the different patient schedules in response to the dynamic environment. We present models of the hospital patient scheduling problem in terms of the "health care cycle" where a doctor repeatedly orders sets of activities (partial plans) to diagnose and/or treat a patient. We introduce the Theil index to the health care domain to characterize different hospital patient scheduling problems in terms of the degree of relative workload inequality between required resources. In experiments that simulate a broad range of stylized hospital patient scheduling problems, we extensively compare the performance of MPAEX to a set of heuristics. The distributed and dynamic MPAEX has performances almost as good as the best centralized and static scheduling heuristics.