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High quality terminologies are a fundamental requirement in a range of health care applications. To ensure high quality terminologies we should reflect about the understandability, reproducibility and utility criteria within a terminology. This paper describes efforts to improve the understandability of SNOMED. We describe the problem related to the grammatical conjunctions "and" and "or" and h...

The SNOMED CT(R) July 2006 release was systematically examined using the CliniClue(R) terminology browser to identify SNOMED terms that might be relevant for the structured representation of respiratory disorders of the newborn infant. Three neonatologists evaluated 348 candidate terms for inclusion in a reference set. Two hundred and eighty-eight (83%) terms were selected for inclusion. Most o...

This paper presents the results of a study in which SNOMED CT has been tested in clinical practice by combining quantitative and qualitative methods. An application has been developed for registration of vascular diseases and procedures using SNOMED CT concepts. We conclude that it requires clinical and technical insight to adapt the terminology to a defined clinical domain.

SNOMED CT is a clinical terminology that describes the meaning of terms by logical axioms. This requires an ontological commitment, i.e. precise agreements about the ontological nature of the entities referred to. We provide evidence that SNOMED implicitly supports at least three different kinds of commitments, viz. (i) independently existing entities, (ii) representational artifacts, and (iii)...

In this study we develop some linguistic bases for mapping between terminologies and demonstrate their application on mapping ICPC-2 PLUS to SNOMED CT (SCT). The Unified Medical Language System (UMLS) metathesaurus mapping, which utilises the links between ICPC-2 PLUS and SCT terms in the UMLS library mapped 46.5% of ICPC-2 PLUS terms to SCT. Lexical mapping explored the lexical similarities be...

SNOMED CT was chosen as reference terminology for standardisation of homecare nursing documentation to make reporting comparable across the 98 Danish municipalities. The method outlined in this paper for developing a Danish national homecare nursing SNOMED CT subsets is a pragmatic approach to build new SNOMED CT subsets drawing on existing and available SNOMED CT subsets. Combining this approa...

Introduction Quality assurance is a demanding task for large biomedical terminologies during the development and maintenance process. The Description Logic (DL) serves as the basis of terminology classification and consistency checking for quite a few large terminologies, such as SNOMED CT [1], Galen[2], and NCIT[3]. Without doubt, to some extend DL helps the quality assurance of the terminolog...

OBJECTIVES To investigate errors identified in SNOMED CT by human reviewers with help from the Abstraction Network methodology and examine why they had escaped detection by the Description Logic (DL) classifier. Case study; Two examples of errors are presented in detail (one missing IS-A relation and one duplicate concept). After correction, SNOMED CT is reclassified to ensure that no new incon...

Human studies are the most important source of evidence for advancing our understanding of health and disease. Yet there is no standard method for investigators to query for studies that are relevant to their scientific hypothesis. Querying data and meta-data across clinical trials and observational studies is difficult because of the lack of semantic and terminology standards for describing th...