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

Journals

  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