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
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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.

美国犹他大学退伍军人事务部联合参与NLM/AHCPR大量表词汇测试。
大规模词汇测试(Large Scale Vocabulary Test, LSVT)的设计目的是评估元词典以及计划添加的元词典在多大程度上满足了临床医生的文档需求。我们的研究小组从65家退伍军人医院记录的患者问题清单中收集了10,538例临床叙述、内科门诊护理实践、伊利亚特的诊断史和体格检查数据元素、护理值班记录和急诊转运患者记录。结果显示,94%的提交的词条结果是可接受的匹配。49%提交的术语被判断为与匹配术语同义,35%被判断为更具体(通常是由于修饰语),2%不太具体,6%具有关联关系。在8%的情况下,要么LSVT接口没有找到匹配,要么所有提议的匹配都被评分者拒绝。LSVT内容非常适合编写我们的叙述。电子记录的必要改进将包括将修饰符与根概念组合在一起的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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