Literature DB >> 8947643

The efficacy of SNOMED, Read Codes, and UMLS in coding ambulatory family practice clinical records.

H C Mullins1, P M Scanland, D Collins, L Treece, P Petruzzi, A Goodson, M Dickinson.   

Abstract

This study was initially developed as a traditional quantitative study to determine the level of match of identified clinical terms in three (3) clinical vocabularies. To address concerns raised by a review of the literature and our own experience, a supplemental study to collect qualitative data was added. Dictated progress notes from a stratified sample of patient visits over a period of four (4) years were used to obtain a representative sample of terms. A total of 144 progress notes were selected taking into consideration the usual demographics plus additional variables. From the 144 clinical notes, 864 terms were extracted and evaluated by level of match. The within-term effect was highly significant (F = 58.69, p < or = .001), indicating significant differences in the mean level of match for the three coding systems. Qualitative findings suggest that this and other published studies may not answer questions about the "efficacy of available clinical vocabularies in coding ambulatory family practice clinical records", and additional studies are needed which must be carefully structured and utilize a standardized procedure.

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Year:  1996        PMID: 8947643      PMCID: PMC2233088     

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


  8 in total

1.  Segmenting healthcare terminology users: a strategic approach to large scale evolutionary development.

Authors:  C Price; K Briggs; P J Brown
Journal:  Proc AMIA Symp       Date:  1999

2.  Classifications in routine use: lessons from ICD-9 and ICPM in surgical practice.

Authors:  J Stausberg; H Lang; U Obertacke; F Rauhut
Journal:  J Am Med Inform Assoc       Date:  2001 Jan-Feb       Impact factor: 4.497

3.  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

4.  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

5.  The Unified Medical Language System: toward a collaborative approach for solving terminologic problems.

Authors:  K E Campbell; D E Oliver; E H Shortliffe
Journal:  J Am Med Inform Assoc       Date:  1998 Jan-Feb       Impact factor: 4.497

6.  Evaluating the coverage of controlled health data terminologies: report on the results of the NLM/AHCPR large scale vocabulary test.

Authors:  B L Humphreys; A T McCray; M L Cheh
Journal:  J Am Med Inform Assoc       Date:  1997 Nov-Dec       Impact factor: 4.497

7.  Randomised crossover trial comparing the performance of Clinical Terms Version 3 and Read Codes 5 byte set coding schemes in general practice.

Authors:  Philip J B Brown; Victoria Warmington; Michael Laurence; A Toby Prevost
Journal:  BMJ       Date:  2003-05-24

Review 8.  The Unified Medical Language System at 30 Years and How It Is Used and Published: Systematic Review and Content Analysis.

Authors:  Xia Jing
Journal:  JMIR Med Inform       Date:  2021-08-27
  8 in total

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