Literature DB >> 1807587

Representation of clinical laboratory terminology in the Unified Medical Language System.

J J Cimino1.   

Abstract

The Unified Medical Language System (UMLS) was examined to determine its coverage of clinical laboratory terminology in use at the Columbia-Presbyterian Medical Center (CPMC). The Metathesaurus (Meta-1) contains exact matches for 30% of 1460 CPMC laboratory terms and near matches for an additional 42%, with better coverage of atomic-level concepts ("substance" terms) than complex ones (tests and panels). The Semantic Network includes types for representing laboratory procedures (2), measured substances (at least 56) and sampled substances (at least 14), but no type to represent specimens. Few of the UMLS semantic relationships are applicable to the CPMC vocabulary. These results have implications for the utility of the UMLS for linking clinical databases to electronic medical information sources.

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Year:  1991        PMID: 1807587      PMCID: PMC2247523     

Source DB:  PubMed          Journal:  Proc Annu Symp Comput Appl Med Care        ISSN: 0195-4210


  1 in total

1.  Automated translation between medical terminologies using semantic definitions.

Authors:  J J Cimino; G O Barnett
Journal:  MD Comput       Date:  1990 Mar-Apr
  1 in total
  12 in total

1.  A UMLS-based knowledge acquisition tool for rule-based clinical decision support system development.

Authors:  S L Achour; M Dojat; C Rieux; P Bierling; E Lepage
Journal:  J Am Med Inform Assoc       Date:  2001 Jul-Aug       Impact factor: 4.497

2.  Evaluation of the Unified Medical Language System as a medical knowledge source.

Authors:  O Bodenreider; A Burgun; G Botti; M Fieschi; P Le Beux; F Kohler
Journal:  J Am Med Inform Assoc       Date:  1998 Jan-Feb       Impact factor: 4.497

3.  UMLS-based conceptual queries to biomedical information databases: an overview of the project ARIANE. Unified Medical Language System.

Authors:  M Joubert; M Fieschi; J J Robert; F Volot; D Fieschi
Journal:  J Am Med Inform Assoc       Date:  1998 Jan-Feb       Impact factor: 4.497

4.  Building national electronic medical record systems via the World Wide Web.

Authors:  I S Kohane; P Greenspun; J Fackler; C Cimino; P Szolovits
Journal:  J Am Med Inform Assoc       Date:  1996 May-Jun       Impact factor: 4.497

5.  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

6.  Auditing the multiply-related concepts within the UMLS.

Authors:  Fleur Mougin; Natalia Grabar
Journal:  J Am Med Inform Assoc       Date:  2014-01-24       Impact factor: 4.497

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
Journal:  J Am Med Inform Assoc       Date:  1997 May-Jun       Impact factor: 4.497

Review 8.  Natural language processing and the representation of clinical data.

Authors:  N Sager; M Lyman; C Bucknall; N Nhan; L J Tick
Journal:  J Am Med Inform Assoc       Date:  1994 Mar-Apr       Impact factor: 4.497

9.  How useful is the UMLS metathesaurus in developing a controlled vocabulary for an automated problem list?

Authors:  T H Payne; D R Martin
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1993

10.  Terms used by nurses to describe patient problems: can SNOMED III represent nursing concepts in the patient record?

Authors:  S B Henry; W L Holzemer; C A Reilly; K E Campbell
Journal:  J Am Med Inform Assoc       Date:  1994 Jan-Feb       Impact factor: 4.497

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