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Evaluating the Effectiveness of Interactive Process Discovery in Healthcare: A Case Study

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Business Process Management Workshops (BPM 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 362))

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Abstract

This work aims at investigating the effectiveness and suitability of Interactive Process Discovery, an innovative Process Mining technique, to model healthcare processes in a data-driven manner. Interactive Process Discovery allows the analyst to interactively discover the process model, exploiting his domain knowledge along with the event log. In so doing, a comparative evaluation against the traditional automated discovery techniques is carried out to assess the potential benefits that domain knowledge brings in improving both the quality and the understandability of the process model. The comparison is performed by using a real dataset from an Italian Hospital, in collaboration with the medical staff. Preliminary results show that Interactive Process Discovery allows to obtain an accurate and fully compliant with clinical guidelines process model with respect to the automated discovery techniques. Discovering an accurate and comprehensible process model is an important starting point for subsequent process analysis and improvement steps, especially in complex environments, such as healthcare.

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Notes

  1. 1.

    A synthesized net is a free-choice workflow net containing a source place, a sink place, a start transition, and an end transition. For more details see [19, 20].

  2. 2.

    An activity log is a multi-set (or bag) of sequences of activities. Every sequence of activities in the activity log is called an activity trace [19].

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Correspondence to Elisabetta Benevento .

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Benevento, E., Dixit, P.M., Sani, M.F., Aloini, D., van der Aalst, W.M.P. (2019). Evaluating the Effectiveness of Interactive Process Discovery in Healthcare: A Case Study. In: Di Francescomarino, C., Dijkman, R., Zdun, U. (eds) Business Process Management Workshops. BPM 2019. Lecture Notes in Business Information Processing, vol 362. Springer, Cham. https://doi.org/10.1007/978-3-030-37453-2_41

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  • DOI: https://doi.org/10.1007/978-3-030-37453-2_41

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