Paper Info
Title
Process mining framework with time perspective for understanding acute care: a case study of AIS in hospitals
Abstract
Background Acute care for critical illness requires very strict treatment timeliness. However, healthcare providers usually cannot accurately figure out the causes of low efficiency in acute care process due to the lack of effective tools. Besides, it is difficult to compare or conformance processes from different patient groups. Methods To solve these problems, we proposed a novel process mining framework with time perspective, which integrates four steps: standard activity construction, data extraction and filtering, iterative model discovery, and performance analysis. Results It can visualize the execution of actual clinical activities hierarchically, evaluate the timeliness and identify bottlenecks in the treatment process. We take the acute ischemic stroke as a case study, and retrospectively reviewed 420 patients' data from a large hospital. Then we discovered process models with timelines, and identified the main reasons for in-hospital delay. Conclusions Experiment results demonstrate that the framework proposed could be a new way of drawing insights about hospitals' clinical process, to help clinical institutions increase work efficiency and improve medical service.
Year
DOI
Venue
2021
10.1186/s12911-021-01725-1
BMC MEDICAL INFORMATICS AND DECISION MAKING
Keywords
DocType
Volume
Acute care, Process mining, Ischemic stroke, Quality improvement, Visual analysis
Journal
21
Issue
ISSN
Citations 
1
1472-6947
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Jianfei Pang103.04
Haifeng Xu204.06
Jun Ren300.34
Jun Yang463.59
Mei Li5211.53
Dan Lu600.34
Zhao Dongsheng706.42