Rajput, Abdul Mateen; Triep, Karen; Endrich, Olga (2022). Semi-Automated Approach to Map Clinical Concepts to SNOMED CT Terms by Using Terminology Server. Studies in health technology and informatics, 293, pp. 67-72. IOS Press 10.3233/SHTI220349
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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.
Item Type: |
Journal Article (Original Article) |
|---|---|
UniBE Contributor: |
Endrich, Olga |
ISSN: |
0926-9630 |
Publisher: |
IOS Press |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
23 May 2022 13:19 |
Last Modified: |
05 Dec 2022 16:20 |
Publisher DOI: |
10.3233/SHTI220349 |
PubMed ID: |
35592962 |
Uncontrolled Keywords: |
KNIME RESTful API Methods SNOMED CT Semantic Interoperability Snowstorm Terminology Server |
BORIS DOI: |
10.48350/170151 |
URI: |
https://boris.unibe.ch/id/eprint/170151 |
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