Comparing Process Models for Patient Populations: Application in Breast Cancer Care

Francesca Marazza*, Faiza Allah Bukhsh, Onno Vijlbrief, Jeroen Geerdink, Shreyasi Pathak, Maurice van Keulen, Christin Seifert

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

Processes in organisations such as hospitals, may deviate from intended standard processes, due to unforeseeable events and the complexity of the organisation. For hospitals, the knowledge of actual patient streams for patient populations (e.g., severe or non-severe cases) is important for quality control and improvement. Process discovery from event data in electronic health records can shed light on the patient flows, but their comparison for different populations is cumbersome and time-consuming. In this paper, we present an approach for the automatic comparison of process models extracted from events in electronic health records. Concretely, we propose to compare processes for different patient populations by cross-log conformance checking, and standard graph similarity measures obtained from the directed graph underlying the process model. Results from a case study on breast cancer care show that average fitness and precision of cross-log conformance checks provide good indications of process similarity and therefore can guide the direction of further investigation for process improvement.

Original languageEnglish
Title of host publicationBusiness Process Management Workshops - BPM 2019 International Workshops, Revised Selected Papers
EditorsChiara Di Francescomarino, Remco Dijkman, Uwe Zdun
Place of PublicationCham
PublisherSpringer
Pages496-507
Number of pages12
ISBN (Electronic)978-3-030-37453-2
ISBN (Print)978-3-030-37452-5
DOIs
Publication statusPublished - 1 Jan 2019
EventInternational Workshops on AI4BPM, BP-Meet-IoT, BPI, BPMinDIT, BPMS2, DEC2H, MIEL, PM-DiPro, PODS4H, PQ, SPBP, VEnMo 2019 held at the 17th International Conference on Business Process Management, BPM 2019 - Vienna, Austria
Duration: 1 Sep 20196 Sep 2019

Publication series

NameLecture Notes in Business Information Processing
PublisherSpringer
Volume362
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356

Conference

ConferenceInternational Workshops on AI4BPM, BP-Meet-IoT, BPI, BPMinDIT, BPMS2, DEC2H, MIEL, PM-DiPro, PODS4H, PQ, SPBP, VEnMo 2019 held at the 17th International Conference on Business Process Management, BPM 2019
CountryAustria
CityVienna
Period1/09/196/09/19
Otherheld at the 17th International Conference on Business Process Management, BPM 2019

Keywords

  • Breast cancer care
  • Process comparison
  • Process mining
  • Quality control

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  • Cite this

    Marazza, F., Bukhsh, F. A., Vijlbrief, O., Geerdink, J., Pathak, S., van Keulen, M., & Seifert, C. (2019). Comparing Process Models for Patient Populations: Application in Breast Cancer Care. In C. Di Francescomarino, R. Dijkman, & U. Zdun (Eds.), Business Process Management Workshops - BPM 2019 International Workshops, Revised Selected Papers (pp. 496-507). (Lecture Notes in Business Information Processing; Vol. 362). Cham: Springer. https://doi.org/10.1007/978-3-030-37453-2_40