Performance Analysis of Emergency Room Episodes Through Process Mining

International Journal of Environmental Research and Public Health

Andres Cifuentes¹  Marcos Sepúlveda¹  Jorge Munoz-Gama¹  Eric Rojas¹  Daniel Capurro²  Andrea Burattin³ 

[1] Department of Computer Science, School of Engineering, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile;Department of Internal Medicine, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 8331150, Chile;Software and Process Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark;

关键词: Process Mining;    healthcare;    Emergency Room;   

DOI  :  10.3390/ijerph16071274

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown