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

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Advances in Computer Science for Engineering and Education VI (ICCSEEA 2023)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 181))

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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.

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Funding

This article resulted from the Master of Sciences thesis in “Health Information Technology” and research project No. 399503 and ethic code IR.MUI.RESEARCH.REC.1399.497that funded by Isfahan University of Medical Sciences, Isfahan, Iran.

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Authors and Affiliations

  1. Department of Industrial Engineering and Futures Studies, Faculty of Engineering, University of Isfahan, Hezarjerib Avenue, Isfahan, Iran

    Arezoo Atighehchian

  2. Department of Health Information Technology and Management, School of Medical Management and Information Sciences, Isfahan University of Medical Sciences, Hezarjerib Avenue, Isfahan, Iran

    Tahmineh Alidadi

  3. Faculty of Medicine, University of Belgrade, Dr. Subotića Street 8, 11000, Belgrade, Serbia

    Reyhaneh Rasekh Mohammadi

  4. Faculty of Organizational Sciences, University of Belgrade, Jove Ilića 154, 11000, Belgrade, Serbia

    Farhad Lotfi

  5. Department of Health Information Technology and Management, School of Medical Management and Information Sciences, Isfahan University of Medical Sciences, Hezarjerib Avenue, Isfahan, Iran

    Sima Ajami

Authors
  1. Arezoo Atighehchian
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  2. Tahmineh Alidadi
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  3. Reyhaneh Rasekh Mohammadi
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  4. Farhad Lotfi
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  5. Sima Ajami
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Corresponding author

Correspondence to Sima Ajami .

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Editors and Affiliations

  1. Faculty of Applied Mathematics, National Technical University of Ukraine “Igor Sikorsky Kiev Polytechnic Institute”, Ukraine, Kyiv, Ukraine

    Zhengbing Hu

  2. Faculty of Applied Mathematics, National Technical University of Ukraine “Igor Sikorsky Kiev Polytechnic Institute”, Ukraine, Kyiv, Ukraine

    Ivan Dychka

  3. Halmos College of Arts and Sciences, Nova Southeastern University, Fort Lauderdale, FL, USA

    Matthew He

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Atighehchian, A., Alidadi, T., Mohammadi, R.R., Lotfi, F., Ajami, S. (2023). Identifying the Application of Process Mining Technique to Visualise and Manage in the Healthcare Systems. In: Hu, Z., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education VI. ICCSEEA 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 181. Springer, Cham. https://doi.org/10.1007/978-3-031-36118-0_26

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