Title: Development Of An Intelligent Chatbot For Patient Appointment Booking System
Authors: Nyako Alhaji Baba, Abdulrahman Mohammed, Sani Saleh Yahaya, Ali Shuaibu Babaa.
Volume: 8
Issue: 10
Pages: 55-65
Publication Date: 2024/10/28
Abstract:
This study focuses on the development of an intelligent chatbot simplify appointment scheduling for students and staff at the Federal Polytechnic Kaltungo Clinic, using AI and automation to address common challenges in appointment management, reduce no-show rates, and enhance healthcare delivery. The chatbot was developed using natural language processing (NLP) and machine learning techniques, allowing it to understand user queries and improve its responses through learning. It provides a user-friendly interface, allowing people to easily book, reschedule, or cancel appointments through their portal or popular messaging apps. The chatbot also offers personalized reminders and basic health information. Results showed that the chatbot successfully reduced administrative burdens, improved patient satisfaction, and received positive feedback for its ease of use and contribution to a more efficient healthcare experience. The study concludes that AI-powered solutions like this chatbot can significantly enhance healthcare delivery by automating key tasks and providing valuable health guidance.