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运用流程挖掘技术对急诊事件进行绩效分析。

Performance Analysis of Emergency Room Episodes Through Process Mining.

机构信息

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.

出版信息

Int J Environ Res Public Health. 2019 Apr 10;16(7):1274. doi: 10.3390/ijerph16071274.

DOI:10.3390/ijerph16071274
PMID:30974731
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6480699/
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.

摘要

急诊科事件的绩效分析旨在为决策者提供知识,使他们能够减少等待时间,减少患者拥堵,并提高提供的护理质量。在这个案例研究中,使用流程挖掘来确定哪些活动、子流程、交互和事件特征解释了为什么有些事件持续时间更长。详细描述了所采用的方法和获得的结果,以供未来在该领域进行绩效分析时参考。结果发现,导致事件持续时间增加的主要原因是检查和治疗子流程之间发生循环。还发现,随着事件严重程度的增加,检查-治疗循环的重复次数也会增加。此外,更常见这种循环的事件会导致以住院为出院目的地。这些发现可能有助于减少这种循环的发生,从而缩短事件持续时间,进而为更多患者提供更快的治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73d7/6480699/fbdb2e2211d0/ijerph-16-01274-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73d7/6480699/f02c62ebe2f5/ijerph-16-01274-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73d7/6480699/4d0d4dd7f1ae/ijerph-16-01274-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73d7/6480699/91e62394dd3c/ijerph-16-01274-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73d7/6480699/cbbe049be8c0/ijerph-16-01274-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73d7/6480699/b678ae349b9e/ijerph-16-01274-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73d7/6480699/5047fb67c067/ijerph-16-01274-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73d7/6480699/1e0d4e91b747/ijerph-16-01274-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73d7/6480699/8e590dbe06f5/ijerph-16-01274-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73d7/6480699/eaff36b3c8b1/ijerph-16-01274-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73d7/6480699/fbdb2e2211d0/ijerph-16-01274-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73d7/6480699/f02c62ebe2f5/ijerph-16-01274-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73d7/6480699/4d0d4dd7f1ae/ijerph-16-01274-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73d7/6480699/91e62394dd3c/ijerph-16-01274-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73d7/6480699/cbbe049be8c0/ijerph-16-01274-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73d7/6480699/b678ae349b9e/ijerph-16-01274-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73d7/6480699/5047fb67c067/ijerph-16-01274-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73d7/6480699/1e0d4e91b747/ijerph-16-01274-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73d7/6480699/8e590dbe06f5/ijerph-16-01274-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73d7/6480699/eaff36b3c8b1/ijerph-16-01274-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73d7/6480699/fbdb2e2211d0/ijerph-16-01274-g010.jpg

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