title: Application of fuzzy classification in modern primary dental care.
abstract: This paper describes a framework for implementing fuzzy classifications in primary dental care services. Dental practices aim to provide the highest quality services for their patients. To achieve this, it is important that dentists are able to obtain patients' opinions about their experiences in the dental practice and are able to accurately evaluate this. We propose the use of fuzzy classification to combine various assessment criteria into one general measure to assess patients' satisfaction with primary dental care services. The proposed framework can be used in conventional dental practice information systems and easily integrated with those already used. The benefits of using the proposed fuzzy classification approach include more flexible and accurate analysis of patients' feedback, combining verbal and numeric data. To confirm our theory, a prototype was developed based on the Microsoft SQL Server database management system for two criteria used in dental practices, namely making an appointment with a dentist and waiting time for dental care services.
authors.affiliation: Integrated Solutions Group, ABB Corporate Research, Ladenburg, Germany. yauheni.veryha@de.abb.com
authors.forename: Yauheni
authors.initials: Y
authors.lastname: Veryha
authors.forename: Katarzyna
authors.initials: K
authors.lastname: Adamczyk
mesh_terms: D003628:Database Management Systems; D003752:Dental Health Services / Q000145:classification*; D017143:Fuzzy Logic; D006801:Humans; D017063:Outcome Assessment, Health Care / Q000379:methods*; D017060:Patient Satisfaction; D011320:Primary Health Care