Open Access System for Information Sharing

Login Library

 

Article
Cited 2 time in webofscience Cited 3 time in scopus
Metadata Downloads

Assessment of the feasibility of developing a clinical pathway using a clinical order log SCIE SCOPUS

Title
Assessment of the feasibility of developing a clinical pathway using a clinical order log
Authors
JUNGEUN, LIMKim, KidongSong, MinseokYoo, SooyoungBaek, HyunyoungKim, SeokPark, SominJeong, Woo-Jin
Date Issued
2022-04
Publisher
Academic Press
Abstract
A clinical pathway (CP) is a tool for effectively managing a care process. There are several research efforts on developing clinical pathways (CPs) in the process mining domain. However, the nature of the data affects data analysis results, and patient clinical variability makes it challenging to develop CPs. Thus, it is crucial to determine candidate care processes that can be standardized as CPs before applying process mining techniques. This paper proposed a method for assessing CP feasibility regarding clinical complexity using clinical order logs from electronic health records. The proposed method consists of data preparation, activity & trace homogeneity evaluations, and process inspection using process mining. Each step consists of metrics to measure the homogeneity of processes and a visualization method to demonstrate the diversity of processes based on the log. The case study was conducted with five surgical groups of patients from a tertiary hospital in South Korea to validate the proposed method. The five groups of patients were successfully assessed. In addition, the visualization methods helped clinical experts grasp the diversity of care processes.
URI
https://oasis.postech.ac.kr/handle/2014.oak/112403
DOI
10.1016/j.jbi.2022.104038
ISSN
1532-0464
Article Type
Article
Citation
Journal of Biomedical Informatics, vol. 128, 2022-04
Files in This Item:
There are no files associated with this item.

qr_code

  • mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher

송민석SONG, MINSEOK
Dept. of Industrial & Management Eng.
Read more

Views & Downloads

Browse