Queue Cure ’26 – Real-Time Digital Clinic Queue Management System

In India, most clinics still use paper token systems, causing long waits, confusion, and overcrowding. Patients don’t know their turn, receptionists handle queues manually with errors, and doctors lack real-time visibility of patient flow. Queue Cure ’26 solves this with a digital queue system that provides live token tracking, estimated waiting time, and real-time updates between staff and patients, making the process faster, clearer, and more efficient. Process I analyzed traditional clinic queue systems and identified issues like long waiting times, lack of transparency, and manual errors. My goal was to build a simple real-time solution to improve patient experience. I designed a Receptionist Dashboard for managing tokens and a Patient View for live queue tracking. The system uses React.js, Node.js, Express.js, Socket.IO for real-time updates, and JWT for security. I implemented token generation, queue management, and wait-time estimation, and tested edge cases like simultaneous registrations and rapid updates to ensure smooth and reliable performance. Results Queue Cure ’26 improved clinic queue management by enabling live queue tracking and estimated wait times, reducing patient uncertainty and improving experience. Real-time updates via Socket.IO ensured instant synchronization between receptionist and patient screens, eliminating manual communication. The system automated token generation, reduced receptionist workload, and minimized errors while handling edge cases reliably, resulting in smoother and more efficient patient flow. Reflection If I were to improve the project further, I would add a mobile app for remote queue tracking, integrate AI-based wait-time prediction for better accuracy, and scale the system to support multiple clinics under a unified dashboard. I would also enhance accessibility with larger UI elements and voice notifications for elderly users, and conduct real-world clinic testing to gather deeper feedback and improve the system further.