Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{186614,
        author = {Sapna Gopi Vishvakarma and Krutika Churi},
        title = {Smart Healthcare AI System for Intelligent Patient: Doctor Interaction and Management},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {2081-2082},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186614},
        abstract = {Healthcare systems worldwide face challenges such as delayed diagnosis, inefficient data management, and poor communication between patients and healthcare professionals. This research paper presents a Smart Healthcare AI System designed to automate patient–doctor interactions, streamline data handling, and enhance accessibility to healthcare services. The proposed system integrates artificial intelligence, machine learning, and natural language processing models like ChatGPT to deliver personalised health support, appointment scheduling, and data analysis. The system stores and manages patient and doctor data securely in a cloud-based database, ensuring confidentiality through encryption. The research emphasises real-time data processing, reduced waiting times, and improved patient outcomes through AI-based insights. Experimental evaluation and case-based analysis demonstrate the system’s potential to transform traditional healthcare models into intelligent, efficient, and patient-centric digital frameworks.},
        keywords = {Artificial Intelligence, Healthcare System, Chatbot, Patient Management, Appointment Scheduling, Smart System.},
        month = {November},
        }