Department of Veterans Affairs, University of Utah consortium participation in the NLM/AHCPR Large Scale Vocabulary Test.

J. C. Eagon, E. Ortiz, K. A. Zollo, J. Hurdle, M. J. Lincoln

Research output: Contribution to journalArticle

Abstract

The Large Scale Vocabulary Test (LSVT) was designed to evaluate how well the Metathesaurus plus planned additions to Meta covered the documentation needs of clinicians. Our consortium collected 10,538 clinical narratives from patient problem lists recorded at 65 Veterans Hospitals, internal medicine ambulatory care practices, diagnostic history and physical examination data elements from Iliad, and nursing shift notes and emergency transport patient records. The results showed 94% of submitted terms resulted in acceptable matches. 49% of submitted terms were judged to be synonymous with the match terms, 35% were judged to be more specific (usually due to modifiers), 2%, were less specific, and 6% had an associative relationship. In 8% of cases either no match was found by the LSVT interface or all proposed matches were rejected by the raters. The LSVT content was quite suitable for coding our narratives. Necessary improvements for an electronic record would include the ability to compose modifiers together with root concepts.

Original languageEnglish (US)
Pages (from-to)565-569
Number of pages5
JournalProceedings : a conference of the American Medical Informatics Association / ... AMIA Annual Fall Symposium. AMIA Fall Symposium
StatePublished - 1997
Externally publishedYes

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Language Tests
Veterans
Unified Medical Language System
Hospital Medicine
Veterans Hospitals
Aptitude
Ambulatory Care
Internal Medicine
Documentation
Physical Examination
Nursing
Emergencies
History

Cite this

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abstract = "The Large Scale Vocabulary Test (LSVT) was designed to evaluate how well the Metathesaurus plus planned additions to Meta covered the documentation needs of clinicians. Our consortium collected 10,538 clinical narratives from patient problem lists recorded at 65 Veterans Hospitals, internal medicine ambulatory care practices, diagnostic history and physical examination data elements from Iliad, and nursing shift notes and emergency transport patient records. The results showed 94{\%} of submitted terms resulted in acceptable matches. 49{\%} of submitted terms were judged to be synonymous with the match terms, 35{\%} were judged to be more specific (usually due to modifiers), 2{\%}, were less specific, and 6{\%} had an associative relationship. In 8{\%} of cases either no match was found by the LSVT interface or all proposed matches were rejected by the raters. The LSVT content was quite suitable for coding our narratives. Necessary improvements for an electronic record would include the ability to compose modifiers together with root concepts.",
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AU - Ortiz, E.

AU - Zollo, K. A.

AU - Hurdle, J.

AU - Lincoln, M. J.

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