AI Chatbot for Hospital Management System

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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Publication Details

Journal
International Research Journal on Advanced Engineering Hub (IRJAEH)
Published
2025-05-22
DOI
https://doi.org/10.47392/irjaeh.2025.0380
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

AI Chatbot for Hospital Management System

D. Aparna, Asha Ram, Vamsi Reddy, A. Nivas Reddy et al.
International Research Journal on Advanced Engineering Hub (IRJAEH)
Artificial Intelligence in Healthcare
article

AI Chatbot for Hospital Management System

D. Aparna, Asha Ram, Vamsi Reddy, A. Nivas Reddy, S. Shirly
article en

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.

International Research Journal on Advanced Engineering Hub (IRJAEH)Vol. 3(05)
Birla Institute of Technology and Science - Hyderabad Campus (IN)
Openalex Percentile: Top 87%
Artificial Intelligence in Healthcare
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