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Semi-Automated Approach to Map Clinical Concepts to SNOMED CT Terms by Using Terminology Server
Abdul Mateen Rajput, Karen Triep, Olga Endrich
67 - 72
10.3233/SHTI220349
Research Article
Studies in Health Technology and Informatics
Volume 293: dHealth 2022
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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