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Identifying the Application of Process Mining Technique to Visualise and Manage in the Healthcare Systems Publisher



Atighehchian A1 ; Alidadi T2 ; Mohammadi RR3 ; Lotfi F4 ; Ajami S2
Authors
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Authors Affiliations
  1. 1. Department of Industrial Engineering and Futures Studies, Faculty of Engineering, University of Isfahan, Hezarjerib Avenue, Isfahan, Iran
  2. 2. Department of Health Information Technology and Management, School of Medical Management and Information Sciences, Isfahan University of Medical Sciences, Hezarjerib Avenue, Isfahan, Iran
  3. 3. Faculty of Medicine, University of Belgrade, Dr. Subotica Street 8, Belgrade, 11000, Serbia
  4. 4. Faculty of Organizational Sciences, University of Belgrade, Jove Ilica 154, Belgrade, 11000, Serbia

Source: Lecture Notes on Data Engineering and Communications Technologies Published:2023


Abstract

This study aims to identify the application of process mining techniques in health centres for the visualisation of healthcare activities. As a scoping review, this research was used and divided into three phases: literature collection, assessment, and selection. A literature search had done on Google Scholar, Web of Science, PubMed, Elsevier, and ProQuest, along with the impact of inclusion and exclusion criteria. Keywords have been addressed as follows: process mining, visualising, mapping, workflow mining, automated business process, discovery, process discovery, performance mining, healthcare, hospital, emergency department, emergency medical service, and apply. The findings showed that process mining can be used to analyse different activities in the field of healthcare, including workflow in healthcare, clinical and administrative processes, data analysis in information systems, events data in patients’ infectious, creation of dashboards, the discovery of unexpected, and hidden relationships. Finally, as the significance of this research, it has been argued that the use of process mining in healthcare allows health professionals to understand the actual implementation of processes. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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