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Measuring Patient Flow Variations: A Cross-Organisational Process Mining Approach

  • Conference paper
Asia Pacific Business Process Management (AP-BPM 2014)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 181))

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Abstract

Variations that exist in the treatment of patients (with similar symptoms) across different hospitals do substantially impact the quality and costs of healthcare. Consequently, it is important to understand the similarities and differences between the practices across different hospitals. This paper presents a case study on the application of process mining techniques to measure and quantify the differences in the treatment of patients presenting with chest pain symptoms across four South Australian hospitals. Our case study focuses on cross-organisational benchmarking of processes and their performance. Techniques such as clustering, process discovery, performance analysis, and scientific workflows were applied to facilitate such comparative analyses. Lessons learned in overcoming unique challenges in cross-organisational process mining, such as ensuring population comparability, data granularity comparability, and experimental repeatability are also presented.

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Author information

Authors and Affiliations

  1. Queensland University of Technology, Australia

    Suriadi Suriadi & Moe T. Wynn

  2. Eindhoven University of Technology, The Netherlands

    Ronny S. Mans

  3. University of Adelaide, Australia

    Andrew Partington & Jonathan Karnon

Authors
  1. Suriadi Suriadi
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  2. Ronny S. Mans
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  3. Moe T. Wynn
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  4. Andrew Partington
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  5. Jonathan Karnon
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Editor information

Editors and Affiliations

  1. Queensland University of Technology, Brisbane, QLD, Australia

    Chun Ouyang

  2. Kyung Hee University, Yongin, Republic of Korea

    Jae-Yoon Jung

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© 2014 Springer International Publishing Switzerland

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Suriadi, S., Mans, R.S., Wynn, M.T., Partington, A., Karnon, J. (2014). Measuring Patient Flow Variations: A Cross-Organisational Process Mining Approach. In: Ouyang, C., Jung, JY. (eds) Asia Pacific Business Process Management. AP-BPM 2014. Lecture Notes in Business Information Processing, vol 181. Springer, Cham. https://doi.org/10.1007/978-3-319-08222-6_4

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  • DOI: https://doi.org/10.1007/978-3-319-08222-6_4

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08221-9

  • Online ISBN: 978-3-319-08222-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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