Literature DB >> 7949920

A comparison of four schemes for codification of problem lists.

J R Campbell1, T H Payne.   

Abstract

We set out to evaluate the completeness of four major coding schemes in representation of the patient problem list: the Unified Medical Language System (UMLS, 4th edition), the Systematized Nomenclature of Medicine (SNOMED International), the Read coding system (version 2), and the International Classification of Diseases (9th Clinical Modification)(ICD-9-CM). We gathered 400 problems from patient records at primary care sites in Omaha and Seattle. Matching these against the best description found in each of the coding schemes, we asked five medical faculty reviewers to rate the matches on a five-point Likert scale assessing their satisfaction with the results. For the four schemes, we computed the following rates of dissatisfaction, satisfaction, and average scores: [table: see text] From this analysis, we conclude that UMLS and SNOMED performed substantially better in capturing the clinical content of the problem lists than READ or ICD-9-CM. No scheme could be considered comprehensive. Depending on the goal of systems developers, UMLS and SNOMED may offer different, and complementary, advantages.

Entities:  

Mesh:

Year:  1994        PMID: 7949920      PMCID: PMC2247911     

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


  6 in total

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Authors:  J R Campbell; G A Kallenberg; R C Sherrick
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1992

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Authors:  L L Weed
Journal:  Ann Clin Res       Date:  1971-06

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Authors:  L L Weed
Journal:  N Engl J Med       Date:  1968-03-14       Impact factor: 91.245

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Authors:  D A Lindberg; B L Humphreys; A T McCray
Journal:  Methods Inf Med       Date:  1993-08       Impact factor: 2.176

5.  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

6.  Progress in medical information management. Systematized nomenclature of medicine (SNOMED).

Authors:  R A Côté; S Robboy
Journal:  JAMA       Date:  1980 Feb 22-29       Impact factor: 56.272

  6 in total
  39 in total

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2.  Improved coding of the primary reason for visit to the emergency department using SNOMED.

Authors:  James C McClay; James Campbell
Journal:  Proc AMIA Symp       Date:  2002

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

Authors:  Steven H Brown; Brent A Bauer; Dietland L Wahner-Roedler; Peter L Elkin
Journal:  AMIA Annu Symp Proc       Date:  2003

4.  Comparative analysis of the VA/Kaiser and NLM CORE problem subsets: an empirical study based on problem frequency.

Authors:  Adam Wright; Joshua Feblowitz; Allison B McCoy; Dean F Sittig
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

5.  Migrating existing clinical content from ICD-9 to SNOMED.

Authors:  Prakash M Nadkarni; Jonathan A Darer
Journal:  J Am Med Inform Assoc       Date:  2010 Sep-Oct       Impact factor: 4.497

6.  Information retrieval performance of probabilistically generated, problem-specific computerized provider order entry pick-lists: a pilot study.

Authors:  Adam S Rothschild; Harold P Lehmann
Journal:  J Am Med Inform Assoc       Date:  2005-01-31       Impact factor: 4.497

7.  Automation of a problem list using natural language processing.

Authors:  Stephane Meystre; Peter J Haug
Journal:  BMC Med Inform Decis Mak       Date:  2005-08-31       Impact factor: 2.796

8.  Inter-rater agreement in physician-coded problem lists.

Authors:  Adam S Rothschild; Harold P Lehmann; George Hripcsak
Journal:  AMIA Annu Symp Proc       Date:  2005

9.  Use of SNOMED CT to represent clinical research data: a semantic characterization of data items on case report forms in vasculitis research.

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

10.  Building an automated problem list based on natural language processing: lessons learned in the early phase of development.

Authors:  Imre Solti; Barry Aaronson; Grant Fletcher; Magdolna Solti; John H Gennari; Melissa Cooper; Tom Payne
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06
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