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

Elisabetta Benevento, Prabhakar M. Dixit, M. F. Sani, Davide Aloini, Wil M.P. van der Aalst

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

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.

Original languageEnglish
Title of host publicationBusiness Process Management Workshops - BPM 2019 International Workshops, Revised Selected Papers
EditorsChiara Di Francescomarino, Remco Dijkman, Uwe Zdun
PublisherSpringer Gabler
Pages508-519
Number of pages12
ISBN (Print)9783030374525
DOIs
Publication statusPublished - 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
Volume362 LNBIP
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

Keywords

  • Business process modeling
  • Healthcare
  • Interactive Process Discovery
  • Process Mining

Fingerprint Dive into the research topics of 'Evaluating the Effectiveness of Interactive Process Discovery in Healthcare: A Case Study'. Together they form a unique fingerprint.

Cite this