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基层医疗中的流程挖掘:文献综述

Process Mining in Primary Care: A Literature Review.

作者信息

Williams Richard, Rojas Eric, Peek Niels, Johnson Owen A

机构信息

MRC Health eResearch Centre, Division of Informatics, Imaging and Data Science, University of Manchester, Manchester, UK.

Computer Science Department, School of Engineering, Pontificia Universidad Católica de Chile, Chile.

出版信息

Stud Health Technol Inform. 2018;247:376-380.

Abstract

Process mining is the discipline of discovering processes from event logs, checking the conformance of real world events to idealized processes, and ultimately finding ways to improve those processes. It was originally applied to business processes and has recently been applied to healthcare. It can reveal insights into clinical care pathways and inform the redesign of healthcare services. We reviewed the literature on process mining, to investigate the extent to which process mining has been applied to primary care, and to identify specific challenges that may arise in this setting. We identified 143 relevant papers, of which only a small minority (n=7) focused on primary care settings. Reported challenges included data quality (consistency and completeness of routinely collected data); selection of appropriate algorithms and tools; presentation of results; and utilization of results in real-world applications.

摘要

过程挖掘是一门从事件日志中发现流程、检查现实世界事件与理想化流程的一致性,并最终找到改进这些流程方法的学科。它最初应用于业务流程,最近已应用于医疗保健领域。它可以揭示临床护理路径的见解,并为医疗服务的重新设计提供信息。我们回顾了关于过程挖掘的文献,以调查过程挖掘在初级保健中的应用程度,并确定在这种情况下可能出现的具体挑战。我们识别出143篇相关论文,其中只有一小部分(n = 7)关注初级保健环境。报告的挑战包括数据质量(常规收集数据的一致性和完整性);选择合适的算法和工具;结果呈现;以及在实际应用中利用结果。

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