Development of a Customized SNOMED-CT Toolkit for Efficient Clinical Term Searches and Mapping Biobank Resources in Korea

This study developed a customized SNOMED-CT toolkit that enables a user to search and map clinical terms for efficient utilization of biobank resources. The developed toolkit used the Java programming language, JDBC, and SWING, and provides the user SNOMED-CT concept searching, pre-coordinated mapping, post-coordinated mapping, and clinical item searching in conjunction with a previously developed research database. In addition, using mapping tables of other terminology provided not only the detailed SNOMED-CT information for the searched concept, but also reference information.