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Enhancing Clinical Insights: Knowledge-Intensive and Context-Sensitive Process Instance Visualization in Health Care

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Process Mining Workshops (ICPM 2023)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 503))

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Abstract

The paper focuses on enhancing the understanding of treatment processes, particularly in healthcare, through process visualization. Healthcare processes are complex and data-rich due to Electronic Health Records (EHRs). Existing visualization approaches often overlook the crucial data perspective alongside the control-flow perspective. To address this, the paper introduces the Knowledge-Intensive and Context-sensitive Process Instance Visualization approach, incorporating external sources like taxonomies and ontologies. A descriptive language enables flexible visualizations, and the enriched XES format supports tailored representations. Thus, the paper emphasizes the importance of context-sensitive visualizations for efficient interpretation by healthcare professionals. By addressing the challenges in healthcare process mining, the approach seeks to improve patient care through comprehensive and meaningful process visualization.

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Notes

  1. 1.

    https://docs.graphly.dev/.

  2. 2.

    https://d3js.org/.

  3. 3.

    International Classification of Diseases, 10th Revision, Clinical Modification.

  4. 4.

    Operation and Procedure Classification System.

  5. 5.

    Tumor, Node, Metastasis Classification System.

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Author information

Authors and Affiliations

  1. Business Information Systems II, University of Trier, Trier, Germany

    Joscha Grüger & Ralph Bergmann

  2. SDS Branch Trier, German Research Center for Artificial Intelligence (DFKI), Trier, Germany

    Joscha Grüger & Ralph Bergmann

Authors
  1. Joscha Grüger
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  2. Ralph Bergmann
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Corresponding author

Correspondence to Joscha Grüger .

Editor information

Editors and Affiliations

  1. KU Leuven, Leuven, Belgium

    Johannes De Smedt

  2. University of Haifa, Haifa, Israel

    Pnina Soffer

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Grüger, J., Bergmann, R. (2024). Enhancing Clinical Insights: Knowledge-Intensive and Context-Sensitive Process Instance Visualization in Health Care. In: De Smedt, J., Soffer, P. (eds) Process Mining Workshops. ICPM 2023. Lecture Notes in Business Information Processing, vol 503. Springer, Cham. https://doi.org/10.1007/978-3-031-56107-8_20

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  • DOI: https://doi.org/10.1007/978-3-031-56107-8_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-56106-1

  • Online ISBN: 978-3-031-56107-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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