Dentify - A Comprehensive Dental Clinic Management System
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Date
2026
Authors
Ala’a Abdelrahim
Abdullah Shabib
Journal Title
Journal ISSN
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Abstract
Modern dental practices face significant operational challenges including inefficient ap-
pointment management, fragmented patient records, and limited patient engagement. This
project addresses these challenges through the design, development, and implementation of
Dentify—a comprehensive, cloud-based dental clinic management system integrating web and
mobile applications to streamline dental practice operations and enhance patient care delivery.
The system was developed using a three-tier architecture with Node.js and Express for
RESTful API implementation, PostgreSQL with Prisma ORM for data management, and Fire-
base Firestore for real-time communications. The frontend comprises responsive web appli-
cations built with React.js for patients, dentists, clinic administrators, secretaries, radiology
centers and system administrators, complemented by cross-platform mobile applications devel-
oped using React Native for patients, dentists and secretaries. A key innovation is the integration
of Google Gemini 2.5 Flash AI to power an intelligent chatbot providing patient support and
appointment booking through natural language interaction. Security measures include HTTPS
encryption, bcrypt password hashing, JWT authentication, and role-based access control sup-
porting six distinct user types.
The implemented system successfully delivers nine core modules: authentication and user
management, intelligent appointment scheduling with real-time availability, comprehensive
treatment planning with visual dental charting, flexible payment processing, radiology inte-
gration, AI-powered chatbot assistance, clinic management, administrative oversight, and real-
time notifications. The system demonstrates significant advantages over traditional solutions
through modern user interfaces, AI-enhanced patient engagement, integrated clinical and ad-
ministrative workflows, real-time data synchronization, and cost-effective deployment using
open-source technologies. The project validates that contemporary web technologies, cloud
platforms, and artificial intelligence can effectively address complex healthcare management
requirements while improving user experience and reducing costs compared to legacy commer-
cial solutions