We developed a method to evaluate the extent to which the International Classification of Function, Disability, and Health (ICF) and SNOMED CT cover concepts used in the disability listing criteria of the U.S. Social Security Administration's "Blue Book." First we decomposed the criteria into their constituent concepts and relationships. We defined different types of mappings and manually mappe...

The use of guidelines to improve quality of care depends on presenting them in a standard machine-interpretable form and using common terms in guidelines as well as in patient records. In this study, the use of SNOMED CT for representing concepts used in preoperative assessment guidelines was evaluated. Terms used in six of these guidelines were mapped to this terminology. Mappings were present...

A cooperative agreement between the owners of SNOMED CT and LOINC was signed in 2013. Here we describe plans for and benefits of linking the two terminologies, progress thus far, and challenges faced during the initial project phase. Keywords—LOINC, SNOMED CT, ontology, terminology, Meaningful Use

Structuring of information helps people to gain a quick overview of complex issues and facilitates the transfer of large amounts of data. In the medical field, such data are transferred using defined standards (HL71, DICOM2) or in conjunction with terminology systems (ICD-103, LOINC4, SNOMED CT5). This paper focuses on the structuring of diagnostic reports in the field of anatomic pathology. It...

In SNOMED CT, a given kind of attribute relationship is defined between two hierarchies, a source and a target. Certain hierarchies (or subhierarchies) serve only as targets, with no outgoing relationships of their own. However, converse relationships-those pointing in a direction opposite to the defined relationships-while not explicitly represented in SNOMED's inferred view, can be utilized i...

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A major challenge for ontology integration is to effectively deal with inconsistencies that arise during the merging process. Because of the explosive nature of classical logic, the common strategy in existing merging tools is to choose between the contradictory pieces of information and maintain consistency. In many cases inconsistent information may be useful for intelligent reasoning activit...

In this paper we introduce a measure of semantic relatedness based on context vectors derived from medical corpora. We also extend a number of measures of semantic similarity for general English to the medical domain. We evaluate these methods with a newly created test bed of 30 medical concept pairs that were scored by three physicians and nine medical index experts. We find that our context v...