Mannhardt Felix, Toussaint Pieter J
SINTEF, Trondheim, Norway.
Stud Health Technol Inform. 2018;247:281-285.
In order to improve health care processes (both in terms of quality and efficiency), we do need insight into how these processes are actually executed in reality. Interviewing health personnel and observing them in their work, are proven field-work techniques for gaining this insight. In this paper, we will introduce a complementary technique. This technique, called process mining, is based on the automatic analysis of digital events, registered in different information systems that support clinical work. Based on an event log, process mining can help in constructing a model of the process (discovery) or with checking to which extend an actual process confirms to a prescriptive model of it (conformance). This paper will briefly discuss two examples, which illustrate the use of process mining.
为了改善医疗保健流程（在质量和效率方面），我们确实需要深入了解这些流程在实际中是如何执行的。采访医护人员并观察他们的工作，是已被证实的获取这种洞察力的实地工作技术。在本文中，我们将介绍一种补充技术。这种技术称为流程挖掘，它基于对数字事件的自动分析，这些数字事件记录在支持临床工作的不同信息系统中。基于事件日志，流程挖掘有助于构建流程模型（发现），或检查实际流程在多大程度上符合其规定模型（一致性）。本文将简要讨论两个例子，以说明流程挖掘的使用。
