Hospital Management Based On Semantic Process Mining: A Systematic Review

M. Jangi, F. Moghbeli, M. Ghaffari, Alireza Vahedinemani
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引用次数: 4

Abstract

Introduction: Semantic Process Mining is the extension field of process mining that is based on getting knowledge of conceptual event logs (based on ontologies) for analyzing frequent and rare processes. In the healthcare studies, semantic process mining has been used in different hospitals in order to improve processes.Material and Methods: A review of the usages of semantic process mining in hospitals is done. This review contains 65 articles from PubMed, dblp and Google scholar. It is searched from 2000 to 2017. One of them was duplicated and finally, we received 64 articles. Data were extracted according to PRISMA guidelines.Results: Out of 64 articles, 6 of them were related with inclusion and exclusion criteria. Most of them detect business process mining. In 80% of studies, the semantic process mining was useful and effective to improve hospital processes and improve its management.Conclusion: This review can show an overview the application of process mining in hospitals. It can help researchers to compare semantic process mining with other methods for improving processes in hospitals and finally, it shows the use of semantic process mining to enhance hospitals processes.
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基于语义过程挖掘的医院管理系统综述
简介:语义过程挖掘是过程挖掘的扩展领域,它基于获取概念事件日志(基于本体)的知识来分析频繁和罕见的过程。在医疗保健研究中,为了改进流程,语义过程挖掘已经在不同的医院中得到应用。材料和方法:综述了语义过程挖掘在医院中的应用。这篇综述包含了来自PubMed, dblp和Google scholar的65篇文章。检索时间为2000年至2017年。其中一篇被重复,最后我们收到了64篇文章。根据PRISMA指南提取数据。结果:64篇文献中有6篇符合纳入和排除标准。它们中的大多数检测业务流程挖掘。在80%的研究中,语义过程挖掘对改进医院流程和改善医院管理是有用和有效的。结论:综述了流程挖掘在医院的应用情况。它可以帮助研究人员将语义过程挖掘与其他改进医院流程的方法进行比较,最后展示了如何使用语义过程挖掘来增强医院流程。
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