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Negotiation-Based Patient Scheduling in Hospitals Reengineering Message-Based Interactions with Services

机译:医院中基于协商的患者计划重新设计基于消息的服务交互

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摘要

Nowadays, hospitals in Germany and other European countries are faced with substantial economic challenges stemming from increased costs and increased demands inter alia resulting from a changing age pyramid. In this respect, patient scheduling is an interesting parameter that determines on the one hand the length of the patients stay in the hospital and the efficiency of the hospital resource allocation on the other hand. Due to the specific characteristics of hospitals such as unexpectedly arriving emergencies or unintended complications during treatments the optimization of patient scheduling is an extraordinary difficult task that cannot be easily solved using a typical centralized optimization algorithm. Thus, in this chapter a decentralized agent based approach is presented that represents patients as well as hospital resources as agents with individual goals that negotiate to find appropriate solutions. The approach has been extensively studied within the MedPAge project and also has been implemented using an agent platform. In this work it will be shown how the traditional message based implementation, which was difficult to construct and even more difficult to maintain, can be replaced with a service based design.
机译:如今,德国和其他欧洲国家的医院面临着巨大的经济挑战,这些挑战源于成本上升和需求增加,尤其是由于年龄金字塔的变化所致。在这方面,患者调度是一个有趣的参数,它一方面确定了患者在医院停留的时间,另一方面又确定了医院资源分配的效率。由于医院的特殊特征,例如在治疗过程中突发突发事件或意外并发症,优化患者调度是一项非常艰巨的任务,使用典型的集中优化算法无法轻松解决。因此,在本章中,提出了一种基于分散代理的方法,该方法将患者和医院资源表示为具有协商寻找合适解决方案的个人目标的代理。该方法已在MedPAge项目中进行了广泛研究,并已使用代理平台实施。在这项工作中,将展示如何用基于服务的设计来替代传统的基于消息的实现,该实现难以构造甚至难以维护。

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  • 会议地点 Targu Mures(RO)
  • 作者单位

    Distributed Systems and Information Systems Group, Computer Science Department,University of Hamburg, Vogt-Koelln-Str. 30, 22527 Hamburg, Germany;

    Distributed Systems and Information Systems Group, Computer Science Department,University of Hamburg, Vogt-Koelln-Str. 30, 22527 Hamburg, Germany;

    Distributed Systems and Information Systems Group, Computer Science Department,University of Hamburg, Vogt-Koelln-Str. 30, 22527 Hamburg, Germany;

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