AI Chatbot for Hospital Management System

Authors

  • Dr.G. Aparna Associate Professor, Department of ET, Hyderabad Institute of Technology and Management, Telangana, India. Author
  • A. Nivas Reddy UG Scholar, Department of ET, Hyderabad Institute of Technology and Management, Telangana, India. Author
  • V. Sai Rishik Reddy UG Scholar, Department of ET, Hyderabad Institute of Technology and Management, Telangana, India. Author
  • S. Shirly UG Scholar, Department of ET, Hyderabad Institute of Technology and Management, Telangana, India. Author
  • A. Sai Ram UG Scholar, Department of ET, Hyderabad Institute of Technology and Management, Telangana, India. Author

DOI:

https://doi.org/10.47392/IRJAEH.2025.0380

Keywords:

AI Chatbot, Appointment Scheduling, Hospital Management, Dialogflow, Healthcare Automation

Abstract

In the rapidly evolving healthcare sector, artificial intelligence (AI)-powered chatbots are playing a crucial role in enhancing patient engagement and streamlining hospital management. This paper presents a hospital management chatbot developed using Google Dialogflow, integrated with a web interface, to provide automated services such as appointment booking, service inquiries, and doctor consultations. The chatbot is designed to handle dynamic scheduling by ensuring booked dates are unavailable for others and allowing users to modify or cancel appointments. A Flask-based webhook is implemented to manage real-time data processing and storage in a MySQL database. The chatbot enhances patient experience by reducing wait times, improving accessibility, and ensuring efficient hospital resource utilization. Comparative analysis with traditional appointment booking methods demonstrates the effectiveness of AI-driven automation in hospital management. This research highlights the chatbot’s impact on operational efficiency and patient satisfaction, paving the way for future advancements in AI-based healthcare solutions.

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Published

2025-05-22

How to Cite

AI Chatbot for Hospital Management System. (2025). International Research Journal on Advanced Engineering Hub (IRJAEH), 3(05), 2553-2558. https://doi.org/10.47392/IRJAEH.2025.0380

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