- Author:
Hannah KANG
1
;
Sang Jun PARK
Author Information
- Publication Type:REVIEW ARTICLE
- From: Journal of Retina 2025;10(1):1-10
- CountryRepublic of Korea
- Language:English
- Abstract: This paper explores the implementation of SNOMED CT in the field of ophthalmology, focusing on the analysis of ophthalmology-related concepts and their clinical applications. SNOMED CT, a globally recognized standardized medical terminology system, is designed to enhance the accuracy and consistency of medical data and facilitate seamless information exchange across healthcare systems. Through detailed analysis, we identified 13,096 concepts directly related to ophthalmology, encompassing body structures, clinical findings, procedures, and examinations. Compared to other classification systems such as KCD-8, SNOMED CT is superior, especially in terms of granularity of concepts related to ophthalmic diseases and procedures. Additionally, SNOMED CT improves interoperability, reduces redundant procedures, and enhances data accuracy, ultimately contributing to patient safety and clinical decision-making. Despite its potential, the adoption of SNOMED CT in ophthalmology has been limited, particularly in South Korea. To promote the adoption of SNOMED CT in ophthalmology, there is need for expert training, support for professional groups, and active participation in international collaborations. The successful integration of SNOMED CT into ophthalmology will not only improve the precision and effectiveness of clinical documentation but also advance research capabilities and global health information exchange.

