24 Information Models, Terminologies, and Ontologies: Current Developments in Dentistry

Wednesday, March 16, 2011: 3:15 p.m.-4:45 p.m.
Location: Room 30C (San Diego Convention Center)
Session Type: Symposium
1.5 CE hours

Sponsored by: Behavioral, Epidemiologic and Health Services Research
Description: In an increasingly electronic world, standardized representations of data are important to help dental research, education and clinical practice function effectively and efficiently. Standardizing data necessitates work at several levels. The data used in a discipline must be organized in a logical and cohesive manner; values for data fields must be standardized using commonly accepted meanings; and relationships among data must be represented if computers are intended to assist with inferencing and problem solving. Biomedical informatics addresses these three facets of standardization through the development of information models, controlled terminologies and ontologies. This presentation provides an overview of recent developments with respect to data standardization in the dental informatics community. A. Acharya will describe work on the Dental Information Model, a comprehensive and systematically organized collection of over 1,000 data elements commonly used in general dentistry. E. Kalenderian/M. Walji will discuss the development and evaluation of the EZCodes, a comprehensive terminology for dental diagnoses and findings that was recently implemented at several dental schools. A discussion of a dental ontology developed through field and laboratory studies of dental diagnosis by M. Torres-Urquidy will highlight opportunities for machine-based reasoning. An important goal of this symposium is to solicit input and feedback from the dental education and research communities on these initiatives. Data representation standards must be developed in close coordination with user communities in order to facilitate adoption, use and continued development.
Learning Objectives:
discuss the relevance of these data representation concepts to dental research, education and practice
define the data representation concepts "information model," "controlled terminology" and "ontology"
describe how ontologies can support machine-based reasoning
3:15 p.m.
The Dental Information Model
A. ACHARYA, Marshfield Clinic, Marshfield Clinic Research Foundation, Marshfield, WI, and T. SCHLEYER, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA
3:40 p.m.
The Development and Evaluation of the EZCodes
E. KALENDERIAN, Harvard University, Boston, MA, and M.F. WALJI, University of Texas at Houston, Houston, TX
4:05 p.m.
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