Scalable quality assurance for large SNOMED CT hierarchies using subject-based subtaxonomies.

ABSTRACT:

Objective

Standards terminologies may be large and complex, making their quality assurance challenging. Some terminology quality assurance (TQA) methodologies are based on abstraction networks (AbNs), compact terminology summaries. We have tested AbNs and the performance of related TQA methodologies on small terminology hierarchies. However, some standards terminologies, for example, SNOMED, are composed of very large hierarchies. Scaling AbN TQA techniques to such hierarchies poses a significant challenge. We present a scalable subject-based approach for AbN TQA.

Methods

An innovative technique is presented for scaling TQA by creating a new kind of subject-based AbN called a subtaxonomy for large hierarchies. New hypotheses about concentrations of erroneous concepts within

SUBMITTER: Ochs C 

PROVIDER: S-EPMC6283060 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature