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@article{206087,
        author = {Emmanuel F and Lin Eby Chandra J},
        title = {AI-Powered Virtual Healthcare Platform for Real-Time Patient Monitoring, Secure Teleconsultation, and Advanced Health Data Analytics},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {2},
        pages = {132-138},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=206087},
        abstract = {The modern healthcare landscape demands robust, centralized digital platforms that can streamline interactions between patients and medical professionals while addressing traditional fragmentations. This paper presents 'MedMate', a comprehensive healthcare management system built using modern web technologies like Django and React. The proposed framework revolutionizes healthcare delivery by integrating virtual consultations, an automated medication management and reminder system, an e-commerce infrastructure for pharmaceutical procurement, and a real-time emergency ambulance tracking service. By incorporating advanced capabilities such as Natural Language Processing (NLP) and Optical Character Recognition (OCR), the system enables automated extraction of textual insights from physical medical reports and handles patient communication via an intelligent chatbot interface. Security, privacy, and regulatory compliance underpin the core architecture, utilizing strict user authentication and data encryption standards. Experimental evaluation and unit testing validate the system's performance, proving its capability to foster an interconnected, accessible, and highly efficient community healthcare environment.},
        keywords = {Django, React, Healthcare Management, Virtual Consultation, Optical Character Recognition (OCR), Natural Language Processing (NLP), Ambulance Tracking, Automated Medication Reminders.},
        month = {July},
        }