Development of Ontology as a Supporting Tool for Thai Drug Code Mapping

Main Article Content

Chanawee Surachatri
Nopphadol Chalortham
Lawan Sratthaphut

Abstract

Objective: To study the domains of structure of Thai drug codes, and to develop the ontology as a tool for Thai drug code mapping. Methods: The researchers collected 8 standard drug codes, including 1. Thai Medicines Terminology (TMT), 2. 24-digit standard drug code (STD24), 3. Registration Number, 4. Global Trade Item Number (GTIN), 5. Anatomical Therapeutic Chemical Classification System (ATC), 6. United Nation Standard Products and Services Code (UNSPSC), 7. National List of Essential Medicine (NLEM) and 8. Patient Information Leaflet (PIL). The study then analyzed the attributes required for drug code mapping, and designed the concept of drug code matching to develop the ontology using the 7-step development principle. The researchers wrote the ontology using the Hozo-Ontology Editor. Subsequently, the study then evaluated the appropriateness of the ontology by interviewing drug code experts with an interview form with its content validated by ontology expert. Results: Ontology to be used as a tool in matching Thai drug codes consisted of 64 classes and 257,215 records of sample data. Results of the interview with the experts on drug code found that the ontology showed a high level of appropriateness (mean 4.47, SD = 0.81 out of 5). Conclusion: The developed ontology has an appropriate structure and is suitable for further application.

Article Details

Section
Research Articles

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