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Assessment of the feasibility of developing a clinical pathway using a clinical order log.
Lim, Jungeun; Kim, Kidong; Song, Minseok; Yoo, Sooyoung; Baek, Hyunyoung; Kim, Seok; Park, Somin; Jeong, Woo-Jin.
Afiliação
  • Lim J; Department of Industrial and Management Engineering, Pohang University of Science and Technology, Pohang, South Korea.
  • Kim K; Department of Obstetrics and Gynecology, Seoul National University Bundang Hospital, Seongnam, South Korea.
  • Song M; Department of Industrial and Management Engineering, Pohang University of Science and Technology, Pohang, South Korea. Electronic address: mssong@postech.ac.kr.
  • Yoo S; Healthcare ICT Research Center, Office of eHealth Research and Businesses, Seoul National University Bundang Hospital, Seongnam, South Korea. Electronic address: yoosoo0@snubh.org.
  • Baek H; Healthcare ICT Research Center, Office of eHealth Research and Businesses, Seoul National University Bundang Hospital, Seongnam, South Korea.
  • Kim S; Healthcare ICT Research Center, Office of eHealth Research and Businesses, Seoul National University Bundang Hospital, Seongnam, South Korea.
  • Park S; Dept of Quality Improvement & Process Innovation, Seoul National University Bundang Hospital, Seongnam, South Korea.
  • Jeong WJ; Dept of Otorhinolaryngology-Head & Neck Surgery, Seoul National University Bundang Hospital, Seongnam, South Korea.
J Biomed Inform ; 128: 104038, 2022 04.
Article em En | MEDLINE | ID: mdl-35248796
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Procedimentos Clínicos / Registros Eletrônicos de Saúde Tipo de estudo: Guideline Limite: Humans País/Região como assunto: Asia Idioma: En Revista: J Biomed Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Coréia do Sul

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Procedimentos Clínicos / Registros Eletrônicos de Saúde Tipo de estudo: Guideline Limite: Humans País/Região como assunto: Asia Idioma: En Revista: J Biomed Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Coréia do Sul