Literature DB >> 1482897

Representation of clinical data using SNOMED III and conceptual graphs.

K E Campbell1, M A Musen.   

Abstract

None of the coding schemes currently contained within the Unified Medical Language System (UMLS) is sufficiently expressive to represent medical progress notes adequately. Some coding schemes suffer from domain incompleteness, others suffer from the inability to represent modifiers and time references, and some suffer from both problems. The recently released version of the Systematized Nomenclature of Medicine (SNOMED III) is a potential solution to the data-representation problem because it is relatively domain complete, and because it uses a generative coding scheme that will allow the construction of codes that contain modifiers and time references. SNOMED III does have an important weakness, however. SNOMED III lacks a formalized system for using its codes; thus, it fails to ensure consistency in its use across different institutions. Application of conceptual-graph formalisms to SNOMED III can ensure such consistency of use. Conceptual-graph formalisms will also allow mapping of the resulting SNOMED III codes onto relational data models and onto other formal systems, such as first-order predicate calculus.

Entities:  

Mesh:

Year:  1992        PMID: 1482897      PMCID: PMC2248067     

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


  20 in total

1.  A randomized controlled trial of concept based indexing of Web page content.

Authors:  P L Elkin; A Ruggieri; L Bergstrom; B A Bauer; M Lee; P V Ogren; C G Chute
Journal:  Proc AMIA Symp       Date:  2000

2.  A randomized controlled trial of the accuracy of clinical record retrieval using SNOMED-RT as compared with ICD9-CM.

Authors:  P L Elkin; A P Ruggieri; S H Brown; J Buntrock; B A Bauer; D Wahner-Roedler; S C Litin; J Beinborn; K R Bailey; L Bergstrom
Journal:  Proc AMIA Symp       Date:  2001

3.  From data to knowledge through concept-oriented terminologies: experience with the Medical Entities Dictionary.

Authors:  J J Cimino
Journal:  J Am Med Inform Assoc       Date:  2000 May-Jun       Impact factor: 4.497

Review 4.  An informatics blueprint for healthcare quality information systems.

Authors:  Joyce C Niland; Layla Rouse; Douglas C Stahl
Journal:  J Am Med Inform Assoc       Date:  2006-04-18       Impact factor: 4.497

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.  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

7.  The rubber meets the road: integrating the Unified Medical Language System Knowledge Source Server into the computer-based patient record.

Authors:  K B Johnson; E B George
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

8.  The project ARIANE: conceptual queries to information databases.

Authors:  M Joubert; J J Robert; F Miton; M Fieschi
Journal:  Proc AMIA Annu Fall Symp       Date:  1996

9.  Managing information with SNOMED: understanding the model.

Authors:  D J Rothwell; R A Côté
Journal:  Proc AMIA Annu Fall Symp       Date:  1996

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.

Authors:  C G Chute; S P Cohn; J R Campbell
Journal:  J Am Med Inform Assoc       Date:  1998 Nov-Dec       Impact factor: 4.497

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