Queue Cure – Real-Time Digital Clinic Queue Management System

76% of India's clinics still rely on paper tokens and manual calling, resulting in long waiting times, poor visibility for patients, and inefficient queue management. Patients often wait 2–3 hours without knowing their position in line, while receptionists struggle to track and update queues manually. We identified the need for a simple real-time queue management system that digitizes patient registration, live queue tracking, and consultation flow without requiring expensive clinic software. Process We started by analyzing how small clinics currently manage patient flow and identified three key pain points: lack of queue visibility, manual token management, and poor communication between staff and patients. We initially considered a complex appointment-based system but realized most small clinics require walk-in support. We then designed a lightweight real-time queue system using React, Node.js, MongoDB, and Socket.IO. Multiple iterations focused on improving live synchronization, reducing receptionist actions, and ensuring patients could track queue status instantly. We tested queue updates, token advancement, and live status synchronization across multiple devices before deployment. Results Queue Cure successfully digitized patient queue management with real-time updates. Receptionists can register patients and manage tokens within seconds, while patients receive live visibility of their queue position. The system eliminates paper tokens, reduces manual coordination, and provides a smoother clinic experience. During testing, queue updates synchronized instantly across connected clients, demonstrating the feasibility of deploying the solution in small and medium-sized clinics. Reflection With additional time, I would add SMS/WhatsApp notifications, appointment scheduling, doctor-specific queues, and offline synchronization for clinics with unstable internet connections. I would also conduct usability testing with actual clinic staff and patients to gather real-world feedback and further optimize workflow efficiency and accessibility.