Literature DB >> 9357689

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

J C Eagon1, E Ortiz, K A Zollo, J Hurdle, M J Lincoln.   

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.

Entities:  

Mesh:

Year:  1997        PMID: 9357689      PMCID: PMC2233573     

Source DB:  PubMed          Journal:  Proc AMIA Annu Fall Symp        ISSN: 1091-8280


  6 in total

1.  Planned NLM/AHCPR large-scale vocabulary test: using UMLS technology to determine the extent to which controlled vocabularies cover terminology needed for health care and public health.

Authors:  B L Humphreys; W T Hole; A T McCray; J M Fitzmaurice
Journal:  J Am Med Inform Assoc       Date:  1996 Jul-Aug       Impact factor: 4.497

2.  Representation of everyday clinical nursing language in UMLS and SNOMED.

Authors:  L L Lange
Journal:  Proc AMIA Annu Fall Symp       Date:  1996

3.  The content coverage of clinical classifications. For The Computer-Based Patient Record Institute's Work Group on Codes & Structures.

Authors:  C G Chute; S P Cohn; K E Campbell; D E Oliver; J R Campbell
Journal:  J Am Med Inform Assoc       Date:  1996 May-Jun       Impact factor: 4.497

4.  Toward a medical-concept representation language. The Canon Group.

Authors:  D A Evans; J J Cimino; W R Hersh; S M Huff; D S Bell
Journal:  J Am Med Inform Assoc       Date:  1994 May-Jun       Impact factor: 4.497

5.  A comparison of four schemes for codification of problem lists.

Authors:  J R Campbell; T H Payne
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1994

6.  An event model of medical information representation.

Authors:  S M Huff; R A Rocha; B E Bray; H R Warner; P J Haug
Journal:  J Am Med Inform Assoc       Date:  1995 Mar-Apr       Impact factor: 4.497

  6 in total

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