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Using Clinical Pathway Patterns for Optimizing the Layout of an Emergency Department

机译:使用临床途径模式优化急诊部门的布局

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During the recent years, demand for healthcare services has dramatically increased. As the demand for healthcare services increases, so does the necessity of constructing new healthcare buildings and redesigning and renovating existing ones. Increasing demands necessitate the use of optimization techniques to improve the overall service efficiency in healthcare settings. However, high complexity of care processes remains the major challenge to accomplish this goal. This study proposes a method based on process mining results to address the high complexity of care processes and to find the optimal layout of the various medical centers in an emergency department. ProM framework is used to discover clinical pathway patterns and relationship between activities. Sequence clustering plug-in is used to remove infrequent events and to derive the process model in the form of Markov chain. The process mining results served as an input for the next phase which consists of the development of the optimization model. Comparison of the current ED design with the one obtained from the proposed method indicated that a carefully designed layout can significantly decrease the distances that patients must travel.
机译:近年来,对医疗保健服务的需求大幅增加。随着对医疗保健服务的需求增加,建造新的医疗保健建筑和重新设计和翻新现有的必要性。越来越多的需求需要利用优化技术来提高医疗环境中的整体服务效率。然而,关心过程的高度复杂性仍然是实现这一目标的主要挑战。本研究提出了一种基于过程采矿结果的方法,以解决护理过程的高度复杂性,并在急诊部门找到各种医疗中心的最佳布局。 PROM框架用于发现活动之间的临床途径和关系。序列群集插件用于删除不常见的事件并以Markov链的形式导出过程模型。过程挖掘结果作为下一阶段的输入,该输入包括优化模型的开发。当前ED设计的比较与所提出的方法中获得的设计表明,精心设计的布局可以显着降低患者必须旅行的距离。

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