Healthc Inform Res.  2021 Jan;27(1):29-38. 10.4258/hir.2021.27.1.29.

Incorporation of Korean Electronic Data Interchange Vocabulary into Observational Medical Outcomes Partnership Vocabulary

• Seong Y
• You SC
• Ostropolets A
• Rho Y
• Park J
• Cho J
• Dymshyts D
• Reich CG
• Heo Y
• Park RW

• KMID: 2512622
• DOI: http://doi.org/10.4258/hir.2021.27.1.29

Abstract

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.

Keyword

Medical Informatics, Controlled Vocabulary, National Health Programs, Biological Ontologies, Knowledge Bases

Figure

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  Figure 1 The overall process. After incorporating HIRA’s EDI vocabulary into the OMOP vocabulary, the domains of the concepts were classified. The hierarchical structures and English definitions were then added. EDI: Electronic Data Interchange, OMOP: Observational Medical Outcomes Partnership.

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  Figure 2 The concept “ICU Patient Care-General” (OMOP Concept ID: 42360788) in the EDI is related to the concept of “Critical Care Medicine Care Management” (OMOP Concept ID: 44804818) in SNOMED-CT (Systematized Nomenclature of Medicine-Clinical Terms). ICU: intensive care unit, OMOP: Observational Medical Outcomes Partnership.

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  Figure 3 Redacted EDI concepts were uploaded to OMOP, published at OHDSI’s public and official vocabulary website, ATHENA (https://athena.ohdsi.org/). EDI: Electronic Data Interchange, OMOP: Observational Medical Outcomes Partnership, OHDSI: Observational Health Data Sciences and Informatics.

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  Figure 4 The results of the initial translation (without glossary) and second translation (referring glossary). The translation procedures, including glossary constraints, achieved better performance for the meaning of abbreviations, medical terms, and descriptions.

Reference

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