This paper is in the following e-collection/theme issue:

Standards and Interoperability (92) Electronic Health Records (1159) Clinical Informatics (1140) Clinical Information and Decision Making (1609)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46127, first published .
A SNOMED CT Mapping Guideline for the Local Terms Used to Document Clinical Findings and Procedures in Electronic Medical Records in South Korea: Methodological Study

A SNOMED CT Mapping Guideline for the Local Terms Used to Document Clinical Findings and Procedures in Electronic Medical Records in South Korea: Methodological Study

A SNOMED CT Mapping Guideline for the Local Terms Used to Document Clinical Findings and Procedures in Electronic Medical Records in South Korea: Methodological Study

Authors of this article:

Sumi Sung1 Author Orcid Image ;   Hyeoun-Ae Park2 Author Orcid Image ;   Hyesil Jung3 Author Orcid Image ;   Hannah Kang4 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

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  1. Sung S, Kim Y, Kim S, Jung H. Identification of Predictors for Clinical Deterioration in Patients With COVID-19 via Electronic Nursing Records: Retrospective Observational Study. Journal of Medical Internet Research 2024;26:e53343 View
  2. Park S, Sung S, Min Y. A Comparative Study of End-of-Life Care Before and During the COVID-19 Pandemic Using Electronic Nursing Records. CIN: Computers, Informatics, Nursing 2025 View
  3. Marquis M, Bossenko I, Ross P. RadLex and SNOMED CT integration: a pilot study for standardising radiology classification. Insights into Imaging 2025;16(1) View
  4. Lau E, Bird L, Lau A, Chau Y, Butcher K, Buchkowsky S, Gossack-Keenan K, Sadowski C, Hohl C. Developing a SNOMED CT-based value set to document symptoms and diagnoses for adverse drug events: A mixed-methods study (Preprint). JMIR Medical Informatics 2024 View