Ontology-based error detection in SNOMED-CT

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Proceedings of Medinfo 2004:482-6 (2004)
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Abstract

Quality assurance in large terminologies is a difficult issue. We present two algorithms that can help terminology developers and users to identify potential mistakes. We demon­strate the methodology by outlining the different types of mistakes that are found when the algorithms are applied to SNOMED-CT. On the basis of the results, we argue that both formal logical and linguistic tools should be used in the development and quality-assurance process of large terminologies.

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Barry Smith
University at Buffalo

Citations of this work

Strategies for Referent Tracking in Electronic Health Records.Werner Ceusters & Barry Smith - 2006 - Journal of Biomedical Informatics 39 (3):362-378.

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