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

KNIME RESTful API Methods SNOMED CT Semantic Interoperability Snowstorm Terminology Server

Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
16 May 2022
Historique:
entrez: 20 5 2022
pubmed: 21 5 2022
medline: 24 5 2022
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 35592962
pii: SHTI220349
doi: 10.3233/SHTI220349
doi:

Types de publication

Journal Article

Langues

eng

Pagination

67-72

Auteurs

Abdul Mateen Rajput (AM)

Medical Directorate, Medizincontrolling, Inselspital, University Hospital Bern, Insel Gruppe, Bern, Switzerland.

Karen Triep (K)

Medical Directorate, Medizincontrolling, Inselspital, University Hospital Bern, Insel Gruppe, Bern, Switzerland.

Olga Endrich (O)

Medical Directorate, Medizincontrolling, Inselspital, University Hospital Bern, Insel Gruppe, Bern, Switzerland.

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Classifications MeSH