Literature DB >> 12463874

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

James C McClay1, James Campbell.   

Abstract

There are over 100 million visits to emergency departments in the United States annually that could be a source of data for multiple uses including disease surveillance, health services research, quality assurance activates, and research. The patients' motivations for seeking care or the reason for visit (RFV) are recorded in every case. Efforts to utilize this rich source of data are hampered by inconsistent data entry and coding. This study analyzes ICD-9-CM, SNOMED-RT, and SNOMED-CT encoding of the RFV for accuracy. Each encoded reason for visit was compared to the text entry recorded at the time of visit to determine the closeness of fit. Each coded entry was judged to be an exact lexical match, a synonym, a broader or narrower concept or no match. SNOMED-CT was a lexical match or synonym for 93% of the text entries, while SNOMED-RT matched 87%, and ICD-9-CM matched 40%. We demonstrate that SNOMED coding of the RFV is more accurate than ICD-9-CM coding.

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Mesh:

Year:  2002        PMID: 12463874      PMCID: PMC2244135     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  7 in total

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

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Authors:  D Aronsky; D Kendall; K Merkley; B C James; P J Haug
Journal:  Acad Emerg Med       Date:  2001-10       Impact factor: 3.451

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  7 in total
  7 in total

1.  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

2.  Development and evaluation of methods for structured recording of heart murmur findings using SNOMED-CT post-coordination.

Authors:  Julie M Green; Jeffrey R Wilcke; Jonathon Abbott; Loren P Rees
Journal:  J Am Med Inform Assoc       Date:  2006-02-24       Impact factor: 4.497

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

4.  Using SNOMED CT-encoded problems to improve ICD-10-CM coding-A randomized controlled experiment.

Authors:  Kin Wah Fung; Julia Xu; S Trent Rosenbloom; James R Campbell
Journal:  Int J Med Inform       Date:  2019-03-05       Impact factor: 4.046

5.  Chief complaint-based performance measures: a new focus for acute care quality measurement.

Authors:  Richard T Griffey; Jesse M Pines; Heather L Farley; Michael P Phelan; Christopher Beach; Jeremiah D Schuur; Arjun K Venkatesh
Journal:  Ann Emerg Med       Date:  2014-10-16       Impact factor: 5.721

6.  Managing an emergency department by analysing HIS medical data: a focus on elderly patient clinical pathways.

Authors:  Delphine Rossille; Marc Cuggia; Aude Arnault; Jacques Bouget; Pierre Le Beux
Journal:  Health Care Manag Sci       Date:  2008-06

7.  An exploration of the properties of the CORE problem list subset and how it facilitates the implementation of SNOMED CT.

Authors:  Kin Wah Fung; Julia Xu
Journal:  J Am Med Inform Assoc       Date:  2015-02-26       Impact factor: 4.497

  7 in total

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