医疗保健中的过程挖掘:系统的文献综述

Mahdi Ghasemi, Daniel Amyot
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引用次数: 55

摘要

流程挖掘是一种很有前途的方法,可以将事件日志转化为关于流程的有价值的见解。一个适合处理挖掘的领域是医疗保健,在这个领域中,大量的数据是由护理流程生成的,但现实的护理模型很少可用。在本文中,我们进行了系统的文献综述(SdLR)来评估过程挖掘的状态,特别是在医疗保健领域。我们首先概述流程挖掘,特别是在医疗保健领域。根据2016年5月通过查询六个相关搜索引擎获得的2371篇与流程挖掘相关的研究出版物,我们发现该领域的出版物在过去十年中呈增长趋势,特别是在医疗保健领域。在现有的11篇文献综述中,选择进一步分析的过程挖掘,只有两个是系统化的,只有三个与医疗保健有关。本文提供了一个系统的审查,在医疗保健是非常需要填补这一空白。确定了针对医疗保健的重要挑战,并讨论了对结果有效性的威胁。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Process mining in healthcare: a systematised literature review
Process mining is a promising approach that turns event logs into valuable insights about processes. One domain amenable to process mining is healthcare, where an enormous amount of data is generated by care processes, but where realistic care models are seldom available. In this paper, we perform a systematised literature review (SdLR) to assess the status of process mining, particularly in healthcare. We first provide an overview of process mining in general, and in healthcare in particular. On the basis of 2371 research publications related to process mining, obtained by querying six relevant search engines in May 2016, we found that the trend of publications in this domain has been growing over the past decade, especially in healthcare. Among the 11 existing literature reviews on process mining selected for further analysis, only two are systematised, and only three relate to healthcare. This paper contributes a systematised review in healthcare that is much needed to fill this void. Important challenges specific to healthcare are identified, and threats to the validity of the results are also discussed.
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