2022•Studies in health technology and informaticsOpen access

Semi-Automated Approach to Map Clinical Concepts to SNOMED CT Terms by Using Terminology Server

Abdul Mateen Rajput, Karen Triep, Olga Endrich

Abstract

SNOMED CT has an enormous number of clinical concepts and mapping to SNOMED CT is considered as the foundation to achieve semantic interoperability in healthcare. Manual mapping is time-consuming and error-prone thus making this crucial step challenging. Terminology Servers provide an interface, which can be used to automate the process of retrieving data. Snowstorm is a terminology server developed by SNOMED International. In this work, the feasibility of using Snowstorm to automate the data retrieval and mapping has been discussed.

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Available abstract

Key concepts: SNOMED CT, Terminology, Interoperability, Computer science, Systematized Nomenclature of Medicine, Semantic interoperability, Process (computing), Information retrieval