Literature DB >> 16160346

The Significance of SNODENT.

Louis J Goldberg1, Werner Ceusters, John Eisner, Barry Smith.   

Abstract

SNODENT is a dental diagnostic vocabulary incompletely integrated in SNOMED-CT. Nevertheless, SNODENT could become the de facto standard for dental diagnostic coding. SNODENT's manageable size, the fact that it is administratively self-contained, and relates to a well-understood domain provides valuable opportunities to formulate and test, in controlled experiments, a series of hypothesis concerning diagnostic systems. Of particular interest are questions related to establishing appropriate quality assurance methods for its optimal level of detail in content, its ontological structure, its construction and maintenance. This paper builds on previous-software-based methodologies designed to assess the quality of SNOMED-CT. When applied to SNODENT several deficiencies were uncovered. 9.52% of SNODENT terms point to concepts in SNOMED-CT that have some problem. 18.53% of SNODENT terms point to SNOMED-CT concepts do not have, in SNOMED, the term used by SNODENT. Other findings include the absence of a clear specification of the exact relationship between a term and a termcode in SNODENT and the improper assignment of the same termcode to terms with significantly different meanings. An analysis of the way in which SNODENT is structurally integrated into SNOMED resulted in the generation of 1081 new termcodes reflecting entities not present in the SNOMED tables but required by SNOMED's own description logic based classification principles. Our results show that SNODENT requires considerable enhancements in content, quality of coding, quality of ontological structure and the manner in which it is integrated and aligned with SNOMED. We believe that methods for the analysis of the quality of diagnostic coding systems must be developed and employed if such systems are to be used effectively in both clinical practice and clinical research.

Mesh:

Year:  2005        PMID: 16160346

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  12 in total

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Authors:  Oluwabunmi Tokede; Joel White; Paul C Stark; Ram Vaderhobli; Muhammad F Walji; Rachel Ramoni; Meta Schoonheim-Klein; Nicole Kimmes; Anamaria Tavares; Elsbeth Kalenderian
Journal:  J Dent Educ       Date:  2013-01       Impact factor: 2.264

5.  Detection and characterization of usability problems in structured data entry interfaces in dentistry.

Authors:  Muhammad F Walji; Elsbeth Kalenderian; Duong Tran; Krishna K Kookal; Vickie Nguyen; Oluwabunmi Tokede; Joel M White; Ram Vaderhobli; Rachel Ramoni; Paul C Stark; Nicole S Kimmes; Meta E Schoonheim-Klein; Vimla L Patel
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7.  Need for diagnostic-centric care in dentistry: A case study from the Marshfield Clinic Health System.

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Journal:  J Am Dent Assoc       Date:  2018-02       Impact factor: 3.634

8.  Measuring up: Implementing a dental quality measure in the electronic health record context.

Authors:  Aarti Bhardwaj; Rachel Ramoni; Elsbeth Kalenderian; Ana Neumann; Nutan B Hebballi; Joel M White; Lyle McClellan; Muhammad F Walji
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9.  The Development of Dental Informatics of Oral Cancer Screening for Prevention in Community Level: A Prototype Study in Thailand.

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Journal:  Asian Pac J Cancer Prev       Date:  2021-12-01

10.  Structuring, reuse and analysis of electronic dental data using the Oral Health and Disease Ontology.

Authors:  William D Duncan; Thankam Thyvalikakath; Melissa Haendel; Carlo Torniai; Pedro Hernandez; Mei Song; Amit Acharya; Daniel J Caplan; Titus Schleyer; Alan Ruttenberg
Journal:  J Biomed Semantics       Date:  2020-08-20
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