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

Abstract

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
Pages251-263
ISBN (Print)9783030116408
DOIs
Publication statusPublished - 1 Jan 2019
Event16th International Conference on Business Process Management - University of Technology in Sydney, Sydney, Australia
Duration: 9 Sep 201814 Sep 2018
Conference number: 16
http://bpm2018.web.cse.unsw.edu.au/

Conference

Conference16th International Conference on Business Process Management
Number16
LocationUniversity of Technology in Sydney
CountryAustralia
CitySydney
Period09/09/201814/09/2018
Internet address
SeriesLecture Notes in Business Information Processing
Volume342
ISSN1865-1348

Keywords

  • Emergency room
  • Healthcare
  • Process mining

Cite this

Rojas, E., Cifuentes, A., Burattin, A., Munoz-Gama, J., Sepúlveda, M., & Capurro, D. (2019). Analysis of Emergency Room Episodes Duration Through Process Mining. In F. Daniel, Q. Z. Sheng, & H. Motahari (Eds.), Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers (pp. 251-263). Springer Verlag. Lecture Notes in Business Information Processing, Vol.. 342 https://doi.org/10.1007/978-3-030-11641-5_20
Rojas, Eric ; Cifuentes, Andres ; Burattin, Andrea ; Munoz-Gama, Jorge ; Sepúlveda, Marcos ; Capurro, Daniel. / Analysis of Emergency Room Episodes Duration Through Process Mining. Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers. editor / Florian Daniel ; Quan Z. Sheng ; Hamid Motahari. Springer Verlag, 2019. pp. 251-263 (Lecture Notes in Business Information Processing, Vol. 342).
@inproceedings{5377954f5c4c498581cd382b0b050071,
title = "Analysis of Emergency Room Episodes Duration Through Process Mining",
abstract = "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.",
keywords = "Emergency room, Healthcare, Process mining",
author = "Eric Rojas and Andres Cifuentes and Andrea Burattin and Jorge Munoz-Gama and Marcos Sep{\'u}lveda and Daniel Capurro",
year = "2019",
month = "1",
day = "1",
doi = "10.1007/978-3-030-11641-5_20",
language = "English",
isbn = "9783030116408",
pages = "251--263",
editor = "Florian Daniel and Sheng, {Quan Z.} and Hamid Motahari",
booktitle = "Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers",
publisher = "Springer Verlag",
address = "Germany",

}

Rojas, E, Cifuentes, A, Burattin, A, Munoz-Gama, J, Sepúlveda, M & Capurro, D 2019, Analysis of Emergency Room Episodes Duration Through Process Mining. in F Daniel, QZ Sheng & H Motahari (eds), Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers. Springer Verlag, Lecture Notes in Business Information Processing, vol. 342, pp. 251-263, 16th International Conference on Business Process Management , Sydney, Australia, 09/09/2018. https://doi.org/10.1007/978-3-030-11641-5_20

Analysis of Emergency Room Episodes Duration Through Process Mining. / Rojas, Eric; Cifuentes, Andres; Burattin, Andrea; Munoz-Gama, Jorge; Sepúlveda, Marcos; Capurro, Daniel.

Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers. ed. / Florian Daniel; Quan Z. Sheng; Hamid Motahari. Springer Verlag, 2019. p. 251-263 (Lecture Notes in Business Information Processing, Vol. 342).

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

TY - GEN

T1 - Analysis of Emergency Room Episodes Duration Through Process Mining

AU - Rojas, Eric

AU - Cifuentes, Andres

AU - Burattin, Andrea

AU - Munoz-Gama, Jorge

AU - Sepúlveda, Marcos

AU - Capurro, Daniel

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

AB - 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.

KW - Emergency room

KW - Healthcare

KW - Process mining

U2 - 10.1007/978-3-030-11641-5_20

DO - 10.1007/978-3-030-11641-5_20

M3 - Article in proceedings

SN - 9783030116408

SP - 251

EP - 263

BT - Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers

A2 - Daniel, Florian

A2 - Sheng, Quan Z.

A2 - Motahari, Hamid

PB - Springer Verlag

ER -

Rojas E, Cifuentes A, Burattin A, Munoz-Gama J, Sepúlveda M, Capurro D. Analysis of Emergency Room Episodes Duration Through Process Mining. In Daniel F, Sheng QZ, Motahari H, editors, Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers. Springer Verlag. 2019. p. 251-263. (Lecture Notes in Business Information Processing, Vol. 342). https://doi.org/10.1007/978-3-030-11641-5_20