There are no files associated with this item.
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 493 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 480 | - |
dc.citation.title | INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE | - |
dc.citation.volume | 22 | - |
dc.contributor.author | Cho, Minsu | - |
dc.contributor.author | Song, Minseok | - |
dc.contributor.author | Yoo, Sooyoung | - |
dc.date.accessioned | 2023-12-22T00:40:43Z | - |
dc.date.available | 2023-12-22T00:40:43Z | - |
dc.date.created | 2015-10-07 | - |
dc.date.issued | 2015-10 | - |
dc.description.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 | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, v.22, no.4, pp.480 - 493 | - |
dc.identifier.doi | 10.1007/978-3-319-08222-6 | - |
dc.identifier.issn | 1943-670X | - |
dc.identifier.scopusid | 2-s2.0-84964078918 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/17347 | - |
dc.identifier.url | http://journals.sfu.ca/ijietap/index.php/ijie/article/view/1802 | - |
dc.identifier.wosid | 000360937300007 | - |
dc.language | 영어 | - |
dc.publisher | UNIV CINCINNATI INDUSTRIAL ENGINEERING | - |
dc.title | A SYSTEMATIC METHODOLOGY FOR OUTPATIENT PROCESS ANALYSIS BASED ON PROCESS MINING | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Engineering, Industrial; Engineering, Manufacturing | - |
dc.relation.journalResearchArea | Engineering | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | process mining | - |
dc.subject.keywordAuthor | healthcare | - |
dc.subject.keywordAuthor | outpatient process analysis | - |
dc.subject.keywordAuthor | case study | - |
dc.subject.keywordPlus | HEALTH-CARE | - |
dc.subject.keywordPlus | MODELS | - |
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Tel : 052-217-1404 / Email : scholarworks@unist.ac.kr
Copyright (c) 2023 by UNIST LIBRARY. All rights reserved.
ScholarWorks@UNIST was established as an OAK Project for the National Library of Korea.