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Open AccessArticle

Performance Analysis of Emergency Room Episodes Through Process Mining

1
Department of Computer Science, School of Engineering, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile
2
Department of Internal Medicine, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 8331150, Chile
3
Software and Process Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
*
Author to whom correspondence should be addressed.
This article is an extended version of our article presented at the International Workshop on Process-Oriented Data Science for Healthcare 2018 (PODS4H18), Sydney, Australia, 10 September 2018 called “Analysis of Emergency Room Episodes Duration through Process Mining”.
Int. J. Environ. Res. Public Health 2019, 16(7), 1274; https://doi.org/10.3390/ijerph16071274
Received: 25 February 2019 / Revised: 29 March 2019 / Accepted: 6 April 2019 / Published: 10 April 2019
(This article belongs to the Special Issue Process-Oriented Data Science for Healthcare 2018 (PODS4H18))
The performance analysis of Emergency Room episodes is aimed at providing decision makers with knowledge that allows them to decrease waiting times, reduce patient congestion, and improve the quality of care provided. In this case study, Process Mining is used to determine which activities, sub-processes, interactions, and characteristics of episodes explain why some episodes have a longer duration. The employed method and the results obtained are described in detail to serve as a guide for future performance analysis in this domain. It was discovered that the main cause of the increment in the episode duration is the occurrence of a loop between the Examination and Treatment sub-processes. It was also found out that as the episode severity increases, the number of repetitions of the Examination–Treatment loop increases as well. Moreover, the episodes in which this loop is more common are those that lead to Hospitalization as discharge destination. These findings might help to reduce the occurrence of this loop, in turn lowering the episode duration and, consequently, providing faster attention to more patients. View Full-Text
Keywords: Process Mining; healthcare; Emergency Room Process Mining; healthcare; Emergency Room
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Rojas, E.; Cifuentes, A.; Burattin, A.; Munoz-Gama, J.; Sepúlveda, M.; Capurro, D. Performance Analysis of Emergency Room Episodes Through Process Mining. Int. J. Environ. Res. Public Health 2019, 16, 1274.

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