Literature DB >> 17238317

Reliability of SNOMED-CT coding by three physicians using two terminology browsers.

Michael F Chiang1, John C Hwang, Alexander C Yu, Daniel S Casper, James J Cimino, Justin B Starren.   

Abstract

SNOMED-CT has been promoted as a reference terminology for electronic health record (EHR) systems. Many important EHR functions are based on the assumption that medical concepts will be coded consistently by different users. This study is designed to measure agreement among three physicians using two SNOMED-CT terminology browsers to encode 242 concepts from five ophthalmology case presentations in a publicly-available clinical journal. Inter-coder reliability, based on exact coding match by each physician, was 44% using one browser and 53% using the other. Intra-coder reliability testing revealed that a different SNOMED-CT code was obtained up to 55% of the time when the two browsers were used by one user to encode the same concept. These results suggest that the reliability of SNOMED-CT coding is imperfect, and may be a function of browsing methodology. A combination of physician training, terminology refinement, and browser improvement may help increase the reproducibility of SNOMED-CT coding.

Mesh:

Year:  2006        PMID: 17238317      PMCID: PMC1839418     

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


  11 in total

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2.  Regional variation in medical classification agreement: benchmarking the coding gap.

Authors:  Daniel Lorence
Journal:  J Med Syst       Date:  2003-10       Impact factor: 4.460

3.  Representation of ophthalmology concepts by electronic systems: adequacy of controlled medical terminologies.

Authors:  Michael F Chiang; Daniel S Casper; James J Cimino; Justin Starren
Journal:  Ophthalmology       Date:  2005-02       Impact factor: 12.079

4.  Efficiency in the health care industries: a view from the outside.

Authors:  Andrew S Grove
Journal:  JAMA       Date:  2005-07-27       Impact factor: 56.272

5.  Representation of ophthalmology concepts by electronic systems: intercoder agreement among physicians using controlled terminologies.

Authors:  John C Hwang; Alexander C Yu; Daniel S Casper; Justin Starren; James J Cimino; Michael F Chiang
Journal:  Ophthalmology       Date:  2006-02-17       Impact factor: 12.079

6.  Representing thoughts, words, and things in the UMLS.

Authors:  K E Campbell; D E Oliver; K A Spackman; E H Shortliffe
Journal:  J Am Med Inform Assoc       Date:  1998 Sep-Oct       Impact factor: 4.497

7.  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

8.  Expert agreement in Current Procedural Terminology evaluation and management coding.

Authors:  Mitchell S King; Martin S Lipsky; Lisa Sharp
Journal:  Arch Intern Med       Date:  2002-02-11

9.  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

10.  Discordance between physicians and coders in assignment of diagnoses.

Authors:  P Yao; B R Wiggs; C Gregor; R Sigurnjak; P Dodek
Journal:  Int J Qual Health Care       Date:  1999-04       Impact factor: 2.038

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  24 in total

1.  Comparison of SNOMED CT versus Medcin terminology concept coverage for mild Traumatic Brain Injury.

Authors:  Diane Montella; Steven H Brown; Peter L Elkin; James C Jackson; S Trent Rosenbloom; Dietlind Wahner-Roedler; Gail Welsh; Bryan Cotton; Oscar D Guillamondegui; Henry Lew; Katherine H Taber; Larry A Tupler; Rodney Vanderploeg; Theodore Speroff
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  An evaluation of the UMLS in representing corpus derived clinical concepts.

Authors:  Jeff Friedlin; Marc Overhage
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

3.  SNOMED CT revisions and coded data repositories: when to upgrade?

Authors:  Werner Ceusters
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

Review 4.  The ACGT Master Ontology and its applications--towards an ontology-driven cancer research and management system.

Authors:  Mathias Brochhausen; Andrew D Spear; Cristian Cocos; Gabriele Weiler; Luis Martín; Alberto Anguita; Holger Stenzhorn; Evangelia Daskalaki; Fatima Schera; Ulf Schwarz; Stelios Sfakianakis; Stephan Kiefer; Martin Dörr; Norbert Graf; Manolis Tsiknakis
Journal:  J Biomed Inform       Date:  2010-05-11       Impact factor: 6.317

5.  Variation of SNOMED CT coding of clinical research concepts among coding experts.

Authors:  James E Andrews; Rachel L Richesson; Jeffrey Krischer
Journal:  J Am Med Inform Assoc       Date:  2007-04-25       Impact factor: 4.497

Review 6.  A review of auditing methods applied to the content of controlled biomedical terminologies.

Authors:  Xinxin Zhu; Jung-Wei Fan; David M Baorto; Chunhua Weng; James J Cimino
Journal:  J Biomed Inform       Date:  2009-03-12       Impact factor: 6.317

7.  SNOMED CT coding variation and grouping for "other findings" in a longitudinal study on urea cycle disorders.

Authors:  Timothy B Patrick; Rachel Richesson; James E Andrews; Lillian C Folk
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

8.  A semi-automatic semantic method for mapping SNOMED CT concepts to VCM Icons.

Authors:  Jean-Baptiste Lamy; Rosy Tsopra; Alain Venot; Catherine Duclos
Journal:  Stud Health Technol Inform       Date:  2013

9.  Why do it the hard way? The case for an expressive description logic for SNOMED.

Authors:  Alan L Rector; Sebastian Brandt
Journal:  J Am Med Inform Assoc       Date:  2008-08-28       Impact factor: 4.497

10.  Comparison of the cohort selection performance of Australian Medicines Terminology to Anatomical Therapeutic Chemical mappings.

Authors:  Guan N Guo; Jitendra Jonnagaddala; Sanjay Farshid; Vojtech Huser; Christian Reich; Siaw-Teng Liaw
Journal:  J Am Med Inform Assoc       Date:  2019-11-01       Impact factor: 4.497

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