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Academic Research

HAPPYTEETH: A WEB-BASED APPOINMENT SYSTEM FOR OCAMPO DENTAL CLINIC


  • ADRIAN C. DAIZ
  • CASANDRA KHRISTYN T. AGUILAR
  • NIKKI MAE P. MAGLALANG
  • PRINCE MENDOZA
  • JOASH FALUTA PATAWARAN
  • DESSA LYN J. DE CASTRO

Abstract

As people grow increasingly aware of the role of oral health in general well-being, there is a growing demand for easily available dental treatment. As technology evolves, integrating digital solutions such as online appointment systems has become essential in modernizing dental practices. This study's purpose is to develop and implement a web-based appointment system called "Happy Teeth" for Ocampo Dental Clinic. Simplifying the process of making appointments, including secure payment processing, and digitizing the system of patient record management are the objectives, with the intent to achieve efficient operations, increased patient satisfaction, and accessible, transparent, and high-quality dental care. The research's purpose is to minimize overbooking problems and eliminate administrative burdens through the secure e-wallet payment option and patient records digitization. These features collectively enhance operational efficiency and patient satisfaction. It improves the clinic's workflow, provides accessible and convenient services for patients, and ensures transparency through automated notifications and detailed records. The system was developed using the Modified Waterfall Methodology or SDLC and tested based on ISO 25010 standards, achieving an alpha test score of 4.06 and 4.18 for the beta test. The results demonstrate effectiveness in functional suitability, compatibility, usability, security, and portability. Guaranteeing reliability and user-friendliness for both dental staff and patients. The system was aligned with the Sustainable Development Goals (SDG) Goal 3, Goal 9, and Goal 16. That way, it has been able to ensure that access is fair to high-quality dental services, operations are updated in the clinics, and transparency is improved through secure, systematic data management.

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