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.
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Stud Health Technol Inform
August 2019
Indiana University School of Dentistry, Indianapolis, Indiana, USA.
The objective of this study was to determine how well a subset of SNODENT, specifically designed for general dentistry, meets the needs of dental practitioners. Participants were asked to locate their written diagnosis for tooth conditions among the SNODENT terminology uploaded into an electronic dental record. Investigators found that 65% of providers' original written diagnoses were in "agreement" with their selected SNODENT dental diagnostic subset concept(s).
View Article and Find Full Text PDFStud Health Technol Inform
March 2018
Department of Stomatology, 2nd Faculty of Medicine, Charles University Prague and University Hospital in Motol, Czech Republic.
Electronic healthcare documentation is the key element of electronic healthcare (eHealth). Electronic oral health record (EOHR) supporting oral medicine is discussed. To provide dentists with a methodology and instrument to create oral health documentation in more efficient way, support information exchange and integration in dental domain and to ease dental decision-making and forensic dentistry identification tasks.
View Article and Find Full Text PDFAMIA Annu Symp Proc
September 2007
Center for Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
The Systematized Nomenclature of Dentistry (SNODENT) is an effort of the American Dental Association (ADA) to develop a controlled terminology that addresses the needs of clinical dentistry. The ADA, collaborating with the College of American Pathologists, developed and incorporated SNODENT as a microglossary of SNOMED. However, little evidence exists of the effectiveness of its clinical coverage.
View Article and Find Full Text PDFStud Health Technol Inform
April 2016
Department of Oral Diagnostic Sciences, School of Dental Medicine, University at Buffalo, Buffalo, New York, USA.
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.
View Article and Find Full Text PDFJ Can Dent Assoc
August 2002
Department of Diagnostic and Biological Sciences, Faculty of Dentistry, University of Toronto, Toronto, Ontario.
Diagnostic codes are computer-readable descriptors of patients' conditions contained in computerized patient records. The codes uniquely identify the diagnoses or conditions identified at initial or follow-up examinations that are otherwise written in English or French on the patient chart. Dental diagnostic codes would allow dentists to access information on the types and range of conditions they encounter in their practices, enhance patient communication, track clinical outcomes and monitor best practices.
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