Andrea Burattin
Associate Professor
Technical University of Denmark
Performance Analysis of Emergency Room Episodes Through Process Mining
E. Rojas, A. Cifuentes, A. Burattin, J. Munoz-Gama, M. Sepúlveda, D. Capurro
Abstract
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.
Paper Information and Files
In International Journal of Environmental Research and Public Health, vol. 16 (2019), issue 7.
- DOI: 10.3390/ijerph16071274
- Download text © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
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