Clinical Pathway Verification through Process Mining (프로세스 마이닝을 통한 의료지침 검증)

Jung,Jeong-Duk (정종덕); Seok-Hun Kim (김석훈); Hyun-Jin Yeo (여현진)

doi:10.9708/jksci.2018.23.04.115

Clinical Pathway Verification through Process Mining

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2018, 23(4), pp.115-120
DOI : 10.9708/jksci.2018.23.04.115
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : December 9, 2017
Accepted : February 14, 2018
Published : April 30, 2018

Jung,Jeong-Duk ¹, Seok-Hun Kim ², Hyun-Jin Yeo ¹

¹동서대학교
²배재대학교

Accredited

ABSTRACT

A Clinical Pathway(CP) is standard process to way of treat diseases or injuries which is adapted to each hospital based on National Clinical Practice Guideline(CPG). Since CP is standard guideline for doctors and nurses working in a hospital, making and modifying CP is one of the most important administrational work for hospital and also rare work because once it is fixed, it's not changed whether there are new kind of disease discovered or new treatment is developed. However, in present, patient's waiting time during hospital residence process, is discussed as service competitive for patients. In this research, we utilize process mining tool to verify patients treatment process follows CP with EMR(Electronic Medical Record) in a sample hospital, and suggest modifcation point of CP through verification.

KEYWORDS

EMR, Medical Record, Healthcare Service, Data Mining, Process Mining

Citation status

* References for papers published after 2023 are currently being built.

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KJCKorea
Journal Central

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Clinical Pathway Verification through Process Mining

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Clinical Pathway Verification through Process Mining

ABSTRACT

KEYWORDS

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REFERENCES (17) * References for papers published after 2023 are currently being built.

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* References for papers published after 2023 are currently being built.