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@article{180554,
        author = {Fouzia nazneen and Dr Abdul Khadeer and Hadeeqa and Tahoora Nuzhath},
        title = {HEALTHCHAT: A SMART VIRTUAL ASSISTANT CHATBOT FOR ENHANCED HOSPITAL SERVICES},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {1685-1691},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180554},
        abstract = {HealthChat is an AI-powered virtual assistant chatbot developed using the MERN stack (MongoDB, Express.js, React.js, Node.js), aimed at enhancing hospital services and patient care delivery. By leveraging Natural Language Processing (NLP) and machine learning algorithms, the system enables real-time, personalized appointment booking, healthcare query resolution, and comprehensive patient support services. The chatbot operates 24/7 and significantly improves operational efficiency by automating administrative tasks, reducing human intervention, and minimizing wait times. Key features include intelligent patient-doctor interaction, real-time medical recommendations, secure payment processing, multi-modal communication support, and comprehensive appointment management. The system addresses critical healthcare challenges including appointment scheduling bottlenecks, patient information accessibility, and administrative overhead while maintaining high security standards and user experience optimization.},
        keywords = {Healthcare Chatbot, MERN Stack, Natural Language Processing, AI-powered Healthcare, Virtual Assistant, Appointment Management, Patient Care Technology},
        month = {June},
        }