Analysis of Emergency Room Episodes Duration Through Process Mining

Eric Rojas*, Andres Cifuentes, Andrea Burattin, Jorge Munoz-Gama, Marcos Sepúlveda, Daniel Capurro

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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This study presents the proposal of a performance analysis method for ER Processes through Process Mining. This method helps to determine which activities, sub-processes, interactions and characteristics of episodes explain why the process has long episode duration, besides providing decision makers with additional information that will help to decrease waiting times, reduce patient congestion and increment quality of provided care. By applying the exposed method to a case study, it was discovered that when a loop is formed between the Examination and Treatment sub-processes, the episode duration lengthens. Moreover, the relationship between case severity and the number of repetitions of the Examination-Treatment loop was also studied. As the case severity increases, the number of repetitions increases as well.

Original languageEnglish
Title of host publicationBusiness Process Management Workshops - BPM 2018 International Workshops, Revised Papers
EditorsFlorian Daniel, Quan Z. Sheng, Hamid Motahari
PublisherSpringer Verlag
Publication date1 Jan 2019
ISBN (Print)9783030116408
Publication statusPublished - 1 Jan 2019
Event16th International Conference on Business Process Management - University of Technology in Sydney, Sydney, Australia
Duration: 9 Sept 201814 Sept 2018
Conference number: 16


Conference16th International Conference on Business Process Management
LocationUniversity of Technology in Sydney
Internet address
SeriesLecture Notes in Business Information Processing


  • Emergency room
  • Healthcare
  • Process mining


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