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Incorporation of Korean Electronic Data Interchange Vocabulary into Observational Medical Outcomes Partnership Vocabulary.
Seong, Yeonchan; You, Seng Chan; Ostropolets, Anna; Rho, Yeunsook; Park, Jimyung; Cho, Jaehyeong; Dymshyts, Dmitry; Reich, Christian G; Heo, Yunjung; Park, Rae Woong.
Afiliação
  • Seong Y; Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.
  • You SC; Department of Sociology, Yonsei University, Seoul, Korea.
  • Ostropolets A; Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.
  • Rho Y; Department of Biomedical Informatics, Columbia University, New York, NY, USA.
  • Park J; Health Insurance Review & Assessment Service, Wonju, Korea.
  • Cho J; Deparment of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Korea.
  • Dymshyts D; Deparment of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Korea.
  • Reich CG; Odysseus Data Services Inc., Cambridge, MA, USA.
  • Heo Y; Real Wolrd Solutions, IQVIA, Cambridge, MA, USA.
  • Park RW; Department of Medical Humanities and Social Medicine, Ajou University School of Medicine, Suwon, Korea.
Healthc Inform Res ; 27(1): 29-38, 2021 Jan.
Article em En | MEDLINE | ID: mdl-33611874
OBJECTIVES: We incorporated the Korean Electronic Data Interchange (EDI) vocabulary into Observational Medical Outcomes Partnership (OMOP) vocabulary using a semi-automated process. The goal of this study was to improve the Korean EDI as a standard medical ontology in Korea. METHODS: We incorporated the EDI vocabulary into OMOP vocabulary through four main steps. First, we improved the current classification of EDI domains and separated medical services into procedures and measurements. Second, each EDI concept was assigned a unique identifier and validity dates. Third, we built a vertical hierarchy between EDI concepts, fully describing child concepts through relationships and attributes and linking them to parent terms. Finally, we added an English definition for each EDI concept. We translated the Korean definitions of EDI concepts using Google.Cloud.Translation.V3, using a client library and manual translation. We evaluated the EDI using 11 auditing criteria for controlled vocabularies. RESULTS: We incorporated 313,431 concepts from the EDI to the OMOP Standardized Vocabularies. For 10 of the 11 auditing criteria, EDI showed a better quality index within the OMOP vocabulary than in the original EDI vocabulary. CONCLUSIONS: The incorporation of the EDI vocabulary into the OMOP Standardized Vocabularies allows better standardization to facilitate network research. Our research provides a promising model for mapping Korean medical information into a global standard terminology system, although a comprehensive mapping of official vocabulary remains to be done in the future.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Healthc Inform Res Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Healthc Inform Res Ano de publicação: 2021 Tipo de documento: Article