Prajan Sanjay K

MediQue – AI-Powered Real-Time Hospital Queue Management Platform

Hospitals often rely on manual or semi-digital queue systems, leaving patients uncertain about wait times and queue positions. Receptionists spend valuable time answering repetitive queries, while doctors face interruptions due to inefficient patient flow. MediQue addresses these challenges with an AI-powered, event-driven platform that provides real-time queue tracking, intelligent wait-time prediction, smart notifications, and seamless synchronization between patients, doctors, receptionists, and administrators. I mapped the complete patient journey from registration and queue enrollment to consultation, payment, and exit to identify delays, communication gaps, and operational inefficiencies. After evaluating REST polling and event-driven architectures, I selected Socket.IO for its low-latency, bidirectional communication, enabling instant synchronization across all connected clients. I designed a modular backend with dedicated services for Queue Management, AI-assisted Wait-Time Prediction, Smart Notifications, Doctor Availability, Analytics, and Payments, supported by Firebase Authentication and Cloud Firestore for secure, scalable cloud operations. Throughout development, I continuously refined the UI, architecture, and event flows to improve usability, maintainability, and scalability. The res The completed platform delivers real-time queue synchronization across all stakeholders with minimal latency, significantly improving queue visibility and communication. Patients receive live queue updates and smart notifications, doctors can manage consultations more efficiently, and administrators gain access to centralized analytics and operational insights. The modular event-driven architecture also provides a strong foundation for future enhancements such as multi-hospital support, advanced AI scheduling, and predictive healthcare analytics while remaining maintainable and scalable. If I had more time, I would evolve MediQue into a complete hospital operations platform by adding Family Queue Tracking for caregivers, Department Load Balancing to reduce congestion, and Inter-Department Queue Transfers for seamless referrals. I would also introduce a Hospital Command Center with predictive staffing insights, Ambulance ETA synchronization, Bed Availability Management, and Pharmacy & Laboratory Queue Integration to provide a unified patient journey from registration to discharge.