Literature DB >> 21836159

A survey of SNOMED CT direct users, 2010: impressions and preferences regarding content and quality.

Gai Elhanan1, Yehoshua Perl, James Geller.   

Abstract

OBJECTIVE: Little information exists concerning SNOMED CT (systematized nomenclature of medicine-clinical terms) users. This report describes current impressions and preferences of direct SNOMED CT users regarding coverage, quality, and concept details, and the change request mechanism.
DESIGN: A 43-question anonymous survey distributed electronically to relevant online communities. MEASUREMENTS: Data on user demographic characteristics, modes and purposes of use, means and frequencies of access, satisfaction with SNOMED CT content coverage and quality and with the change request mechanism were recorded.
RESULTS: The survey was conducted in January 2010 and elicited 215 responses. Details regarding users' profiles, modes of use and access were reported elsewhere. The coverage of SNOMED CT was perceived to be at least 85% complete by 42% of responders, and 60% were at least satisfied with its quality. Various deficiencies were encountered at least 'somewhat often' by 28-61% of responders. Incorrect data were more bothersome than missing data. Users indicated that significant resources should be allocated to more consistent and complete conceptual representations and to further enhance content coverage. Enhanced synonym coverage and the introduction of textual definitions were important to users (54% and 63%, respectively). LIMITATIONS: A survey format with limited control over recruitment and selection bias. Lack of information regarding the SNOMED CT version used by responders.
CONCLUSION: Despite overall satisfaction, direct users indicated a strong desire to improve consistency, quality, and completeness of conceptual representations and concept details, as well as a continued desire to expand coverage. The survey provides much needed data for informed decisions regarding the use and development goals of SNOMED CT. Focused periodical surveys are warranted.

Mesh:

Year:  2011        PMID: 21836159      PMCID: PMC3241171          DOI: 10.1136/amiajnl-2011-000341

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  30 in total

1.  Mapping between SNOMED RT and Clinical terms version 3: a key component of the SNOMED CT development process.

Authors:  A Y Wang; J W Barrett; T Bentley; D Markwell; C Price; K A Spackman; M Q Stearns
Journal:  Proc AMIA Symp       Date:  2001

2.  LOINC, a universal standard for identifying laboratory observations: a 5-year update.

Authors:  Clement J McDonald; Stanley M Huff; Jeffrey G Suico; Gilbert Hill; Dennis Leavelle; Raymond Aller; Arden Forrey; Kathy Mercer; Georges DeMoor; John Hook; Warren Williams; James Case; Pat Maloney
Journal:  Clin Chem       Date:  2003-04       Impact factor: 8.327

3.  An applied evaluation of SNOMED CT as a clinical vocabulary for the computerized diagnosis and problem list.

Authors:  Henry Wasserman; Jerome Wang
Journal:  AMIA Annu Symp Proc       Date:  2003

4.  Kaiser Permanente's Convergent Medical Terminology.

Authors:  Robert H Dolin; John E Mattison; Simon Cohn; Keith E Campbell; Andrew M Wiesenthal; Brad Hochhalter; Diane LaBerge; Rita Barsoum; James Shalaby; Alan Abilla; Robert J Clements; Carol M Correia; Diane Esteva; John M Fedack; Bruce J Goldberg; Sridhar Gopalarao; Eza Hafeza; Peter Hendler; Enrique Hernandez; Ron Kamangar; Rafique A Kahn; Georgina Kurtovich; Gerry Lazzareschi; Moon H Lee; Tracy Lee; David Levy; Jonathan Y Lukoff; Cyndie Lundberg; Michael P Madden; Trongtu L Ngo; Ben T Nguyen; Nikhilkumar P Patel; Jim Resneck; David E Ross; Kathleen M Schwarz; Charles C Selhorst; Aaron Snyder; Mohamed I Umarji; Max Vilner; Roy Zer-Chen; Chris Zingo
Journal:  Stud Health Technol Inform       Date:  2004

5.  U.S. Department of Veterans Affairs Enterprise Reference Terminology strategic overview.

Authors:  Michael J Lincoln; Steven H Brown; Viet Nguyen; Tim Cromwell; John Carter; Mark Erlbaum; Mark Tuttle
Journal:  Stud Health Technol Inform       Date:  2004

6.  Evaluation of SNOMED coverage of Veterans Health Administration terms.

Authors:  Janet F E Penz; Steven H Brown; John S Carter; Peter L Elkin; Viet N Nguyen; Shannon A Sims; Michael J Lincoln
Journal:  Stud Health Technol Inform       Date:  2004

7.  Getting the foot out of the pelvis: modeling problems affecting use of SNOMED CT hierarchies in practical applications.

Authors:  Alan L Rector; Sam Brandt; Thomas Schneider
Journal:  J Am Med Inform Assoc       Date:  2011-04-21       Impact factor: 4.497

8.  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

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.  A comparison of four schemes for codification of problem lists.

Authors:  J R Campbell; T H Payne
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1994
View more
  21 in total

1.  A comparative analysis of the density of the SNOMED CT conceptual content for semantic harmonization.

Authors:  Zhe He; James Geller; Yan Chen
Journal:  Artif Intell Med       Date:  2015-04-02       Impact factor: 5.326

2.  A tribal abstraction network for SNOMED CT target hierarchies without attribute relationships.

Authors:  Christopher Ochs; James Geller; Yehoshua Perl; Yan Chen; Ankur Agrawal; James T Case; George Hripcsak
Journal:  J Am Med Inform Assoc       Date:  2014-10-20       Impact factor: 4.497

3.  Scalable quality assurance for large SNOMED CT hierarchies using subject-based subtaxonomies.

Authors:  Christopher Ochs; James Geller; Yehoshua Perl; Yan Chen; Junchuan Xu; Hua Min; James T Case; Zhi Wei
Journal:  J Am Med Inform Assoc       Date:  2014-10-21       Impact factor: 4.497

4.  Overlapping Complex Concepts Have More Commission Errors, Especially in Intensive Terminology Auditing.

Authors:  Ling Zheng; Hao Liu; Yehoshua Perl; James Geller; Christopher Ochs; James T Case
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

5.  New abstraction networks and a new visualization tool in support of auditing the SNOMED CT content.

Authors:  James Geller; Christopher Ochs; Yehoshua Perl; Junchuan Xu
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

6.  Scalability of abstraction-network-based quality assurance to large SNOMED hierarchies.

Authors:  Christopher Ochs; Yehoshua Perl; James Geller; Michael Halper; Huanying Gu; Yan Chen; Gai Elhanan
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

7.  Identifying inconsistencies in SNOMED CT problem lists using structural indicators.

Authors:  Ankur Agrawal; Yehoshua Perl; Yan Chen; Gai Elhanan; Mei Liu
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

8.  Similarity-Based Recommendation of New Concepts to a Terminology.

Authors:  Praveen Chandar; Anil Yaman; Julia Hoxha; Zhe He; Chunhua Weng
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

9.  Analyzing structural changes in SNOMED CT's Bacterial infectious diseases using a visual semantic delta.

Authors:  Christopher Ochs; James T Case; Yehoshua Perl
Journal:  J Biomed Inform       Date:  2017-02-12       Impact factor: 6.317

10.  Quality assurance of chemical ingredient classification for the National Drug File - Reference Terminology.

Authors:  Ling Zheng; Hasan Yumak; Ling Chen; Christopher Ochs; James Geller; Joan Kapusnik-Uner; Yehoshua Perl
Journal:  J Biomed Inform       Date:  2017-07-16       Impact factor: 6.317

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.