Literature DB >> 14728145

Coverage of oncology drug indication concepts and compositional semantics by SNOMED-CT.

Steven H Brown1, Brent A Bauer, Dietland L Wahner-Roedler, Peter L Elkin.   

Abstract

OBJECTIVE: To evaluate SNOMED-CT 's ability to represent simple and compositional concepts in FDA approved oncology drug indications.
METHODS: Oncology drug indications were decomposed into single and compositional concepts. SNOMED-CT's coverage of single concepts and the semantics needed to create compositional concepts were evaluated using automated and manual techniques.
RESULTS: SNOMED-CT covered 86.3% of single concepts present in oncology drug indications; 11.3% of indications were covered completely. Coverage was best for concepts describing diseases, anatomy, and patient characteristics. Medications accounted for 50.5% of missing concepts. Excluding drug names, 45.2% of indications were completely represented. SNOMED-CT's semantics completely represented 60.1% of compositional expressions.
CONCLUSIONS: SNOMED-CT's overall coverage of the concepts in oncology drug indications was good. Improvements or alternatives are needed for medications and semantics.

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Year:  2003        PMID: 14728145      PMCID: PMC1480079     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  19 in total

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4.  A randomized controlled trial of automated term composition.

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Review 5.  Desiderata for controlled medical vocabularies in the twenty-first century.

Authors:  J J Cimino
Journal:  Methods Inf Med       Date:  1998-11       Impact factor: 2.176

6.  Compositional and enumerative designs for medical language representation.

Authors:  A M Rassinoux; R A Miller; R H Baud; J R Scherrer
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

7.  Phase II evaluation of clinical coding schemes: completeness, taxonomy, mapping, definitions, and clarity. CPRI Work Group on Codes and Structures.

Authors:  J R Campbell; P Carpenter; C Sneiderman; S Cohn; C G Chute; J Warren
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8.  A randomized double-blind controlled trial of automated term dissection.

Authors:  P L Elkin; K R Bailey; P V Ogren; B A Bauer; C G Chute
Journal:  Proc AMIA Symp       Date:  1999

9.  Representation by standard terminologies of health status concepts contained in two health status assessment instruments used in rheumatic disease management.

Authors:  A P Ruggieri; P Elkin; C G Chute
Journal:  Proc AMIA Symp       Date:  2000

10.  A framework for comprehensive health terminology systems in the United States: development guidelines, criteria for selection, and public policy implications. ANSI Healthcare Informatics Standards Board Vocabulary Working Group and the Computer-Based Patient Records Institute Working Group on Codes and Structures.

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Journal:  J Am Med Inform Assoc       Date:  1998 Nov-Dec       Impact factor: 4.497

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  5 in total

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Authors:  Rachel L Richesson; James E Andrews; Jeffrey P Krischer
Journal:  J Am Med Inform Assoc       Date:  2006-06-23       Impact factor: 4.497

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4.  Using SNOMED CT to represent two interface terminologies.

Authors:  S Trent Rosenbloom; Steven H Brown; David Froehling; Brent A Bauer; Dietlind L Wahner-Roedler; William M Gregg; Peter L Elkin
Journal:  J Am Med Inform Assoc       Date:  2008-10-24       Impact factor: 4.497

5.  A model for evaluating interface terminologies.

Authors:  S Trent Rosenbloom; Randolph A Miller; Kevin B Johnson; Peter L Elkin; Steven H Brown
Journal:  J Am Med Inform Assoc       Date:  2007-10-18       Impact factor: 4.497

  5 in total

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