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Song, Minseok
Business Process Intelligence(BPI) Lab
Research Interests
  • Process mining
  • Social network analysis/Organizational structure analysis
  • Process knowledge management
  • Business process analysis, simulation, and optimization
  • Data mining/business intelligence

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A SYSTEMATIC METHODOLOGY FOR OUTPATIENT PROCESS ANALYSIS BASED ON PROCESS MINING

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Title
A SYSTEMATIC METHODOLOGY FOR OUTPATIENT PROCESS ANALYSIS BASED ON PROCESS MINING
Author
Cho, MinsuSong, MinseokYoo, Sooyoung
Issue Date
2015-10
Publisher
UNIV CINCINNATI INDUSTRIAL ENGINEERING
Citation
INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, v.22, no.4, pp.480 - 493
Abstract
Healthcare industry is competitive due to the increase in demand for medical services caused by population aging and improved standards of living. In accordance with this trend, there have been several studies investigating how clinical processes can be improved such as decreasing the waiting time for consultation, optimizing reservation systems, etc. To improve clinical processes in hospitals, understanding current situations and identifying problems are critical. In this paper, a method to analyze outpatient processes based on process mining is suggested. Process mining aims at extracting knowledgeable information from event logs. The proposed methodology consists of data integration, data exploration, data analysis, and discussion steps. In the data analysis, process discovery and matching rate analysis, process pattern analysis and what-if analysis based on performance analysis are conducted by applying several process mining techniques. To validate the proposed method, a case study is conducted with a tertiary general university hospital in Korea
URI
https://scholarworks.unist.ac.kr/handle/201301/17347
URL
http://journals.sfu.ca/ijietap/index.php/ijie/article/view/1802
DOI
10.1007/978-3-319-08222-6
ISSN
1943-670X
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SBA_Journal Papers
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