J Am Med Inform Assoc - Scalable quality assurance for large SNOMED CT hierarchies using subject-based subtaxonomies.

Tópicos

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Resumo

JECTIVE: 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 the AbN are introduced to guide scalable TQA.RESULTS: We test the TQA methodology for a subject-based subtaxonomy for the Bleeding subhierarchy in SNOMED's large Clinical finding hierarchy. To test the error concentration hypotheses, three domain experts reviewed a sample of 300 concepts. A consensus-based evaluation identified 87 erroneous concepts. The subtaxonomy-based TQA methodology was shown to uncover statistically significantly more erroneous concepts when compared to a control sample.DISCUSSION: The scalability of TQA methodologies is a challenge for large standards systems like SNOMED. We demonstrated innovative subject-based TQA techniques by identifying groups of concepts with a higher likelihood of having errors within the subtaxonomy. Scalability is achieved by reviewing a large hierarchy by subject.CONCLUSIONS: An innovative methodology for scaling the derivation of AbNs and a TQA methodology was shown to perform successfully for the largest hierarchy of SNOMED.

Resumo Limpo

jectiv standard terminolog may larg complex make qualiti assur challeng terminolog qualiti assur tqa methodolog base abstract network abn compact terminolog summari test abn perform relat tqa methodolog small terminolog hierarchi howev standard terminolog exampl snome compos larg hierarchi scale abn tqa techniqu hierarchi pose signific challeng present scalabl subjectbas approach abn tqamethod innov techniqu present scale tqa creat new kind subjectbas abn call subtaxonomi larg hierarchi new hypothes concentr erron concept within abn introduc guid scalabl tqaresult test tqa methodolog subjectbas subtaxonomi bleed subhierarchi snome larg clinic find hierarchi test error concentr hypothes three domain expert review sampl concept consensusbas evalu identifi erron concept subtaxonomybas tqa methodolog shown uncov statist signific erron concept compar control samplediscuss scalabl tqa methodolog challeng larg standard system like snome demonstr innov subjectbas tqa techniqu identifi group concept higher likelihood error within subtaxonomi scalabl achiev review larg hierarchi subjectconclus innov methodolog scale deriv abn tqa methodolog shown perform success largest hierarchi snome

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