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Literature DB >> 24551319

Identifying inconsistencies in SNOMED CT problem lists using structural indicators.

Ankur Agrawal¹, Yehoshua Perl², Yan Chen³, Gai Elhanan⁴, Mei Liu².

Abstract

The National Library of Medicine has published the CORE and the VA/KP problem lists to facilitate the usage of SNOMED CT for encoding diagnoses and clinical data of patients in electronic health records. Therefore, it is essential for the content of the problem lists to be as accurate and consistent as possible. This study assesses the effectiveness of using a concept's word length and number of parents, two structural indicators for measuring concept complexity, to identify inconsistencies with high probability. The method is able to isolate concepts with over 40% expected of being erroneous. A structural indicator for concepts which is able to identify 52% of the examined concepts as having errors in synonyms is also presented. The results demonstrate that the concepts in problem lists are not free of inconsistencies and further quality assurance is needed to improve the quality of these concepts.

Entities: Species

Mesh：

Year: 2013 PMID： 24551319 PMCID： PMC3900119

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

26 in total

1. Testing Three Problem List Terminologies in a simulated data entry environment.

Authors: Kin Wah Fung; Junchuan Xu; S Trent Rosenbloom; David Mohr; Naveen Maram; Thomas Suther
Journal: AMIA Annu Symp Proc Date: 2011-10-22

2. The American Academy of Ophthalmology adopts SNOMED CT as its official clinical terminology.

Authors: H Dunbar Hoskins; P Lloyd Hildebrand; Flora Lum
Journal: Ophthalmology Date: 2008-02 Impact factor: 12.079

3. Evaluation of the VA/KP problem list subset of SNOMED as a clinical terminology for electronic prescription clinical decision support.

Authors: Surendranath Mantena; Gunther Schadow
Journal: AMIA Annu Symp Proc Date: 2007-10-11

4. Cross-mapping APACHE IV "reasons for intensive care admission" classification to SNOMED CT.

Authors: F Bakhshi-Raiez; R Cornet; N F de Keizer
Journal: Stud Health Technol Inform Date: 2008

5. 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

Identifying inconsistencies in SNOMED CT problem lists using structural indicators.

1. Testing Three Problem List Terminologies in a simulated data entry environment.

2. The American Academy of Ophthalmology adopts SNOMED CT as its official clinical terminology.

3. Evaluation of the VA/KP problem list subset of SNOMED as a clinical terminology for electronic prescription clinical decision support.

4. Cross-mapping APACHE IV "reasons for intensive care admission" classification to SNOMED CT.

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

6. Dissimilarities in the Logical Modeling of Apparently Similar Concepts in SNOMED CT.

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

8. A case report: using SNOMED CT for grouping Adverse Drug Reactions Terms.

9. Formal representation of complex SNOMED CT expressions.

10. Automatic medical encoding with SNOMED categories.

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

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

Review 3. A review of auditing techniques for the Unified Medical Language System.