Analysis of Emergency Room Episodes Duration Through Process Mining

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

doi:10.1007/978-3-030-11641-5_20

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

Department of Applied Mathematics and Computer Science

Pontificia Universidad Católica de Chile

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

133 Downloads (Pure)

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 language	English
Title of host publication	Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers
Editors	Florian Daniel, Quan Z. Sheng, Hamid Motahari
Publisher	Springer Verlag
Publication date	1 Jan 2019
Pages	251-263
ISBN (Print)	9783030116408
DOIs	https://doi.org/10.1007/978-3-030-11641-5_20
Publication status	Published - 1 Jan 2019
Event	16th International Conference on Business Process Management - University of Technology in Sydney, Sydney, Australia Duration: 9 Sept 2018 → 14 Sept 2018 Conference number: 16 http://bpm2018.web.cse.unsw.edu.au/

Conference

Conference	16th International Conference on Business Process Management
Number	16
Location	University of Technology in Sydney
Country/Territory	Australia
City	Sydney
Period	09/09/2018 → 14/09/2018
Internet address	http://bpm2018.web.cse.unsw.edu.au/

Series	Lecture Notes in Business Information Processing
Volume	342
ISSN	1865-1348

Keywords

Emergency room
Healthcare
Process mining

Access to Document

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

fulltextAccepted author manuscript, 578 KB

OpenUrl availability

Full text

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. https://doi.org/10.1007/978-3-030-11641-5_20

Rojas, Eric ; Cifuentes, Andres ; Burattin, Andrea et al. / 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 = jan,

day = "1",

doi = "10.1007/978-3-030-11641-5_20",

language = "English",

isbn = "9783030116408",

series = "Lecture Notes in Business Information Processing",

publisher = "Springer Verlag",

pages = "251--263",

editor = "Florian Daniel and Sheng, {Quan Z.} and Hamid Motahari",

booktitle = "Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers",

address = "Germany",

note = "16th International Conference on Business Process Management , BPM 2018 ; Conference date: 09-09-2018 Through 14-09-2018",

url = "http://bpm2018.web.cse.unsw.edu.au/",

}

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, New South Wales, 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 et al.
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 proceeding › Article in proceedings › Research › peer-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

N1 - Conference code: 16

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

AN - SCOPUS:85061371841

SN - 9783030116408

T3 - Lecture Notes in Business Information Processing

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

T2 - 16th International Conference on Business Process Management

Y2 - 9 September 2018 through 14 September 2018

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). doi: 10.1007/978-3-030-11641-5_20

Analysis of Emergency Room Episodes Duration Through Process Mining

Abstract

Conference

Keywords

Access to Document

OpenUrl availability

Fingerprint

Cite this