Queue Cure '26 – Real-Time Clinic Queue Management Platform

Many clinics in India still rely on paper token systems and manual queue management. Patients often wait for long periods without knowing when they will be called, leading to frustration and repeated inquiries at reception. Receptionists spend significant time answering status questions and manually tracking patient order, while doctors have limited visibility into queue flow. Queue Cure '26 addresses this challenge by creating a real-time digital queue management system that provides transparency for patients and operational efficiency for clinics. The goal was to reduce u Process I began by analyzing the primary pain points faced by patients and clinic staff in traditional queue systems. The key challenge was ensuring that queue updates were reflected instantly across multiple screens without requiring manual refreshes. The solution was designed around a real-time architecture using Socket.io for live synchronization between the receptionist dashboard and patient waiting room display. I implemented dynamic wait-time calculations based on queue length and average consultation duration rather than using hardcoded values. Special attention was given to usability by creating a simple receptionist workflow with quick patient registration, token generation, and queue controls. Multiple edge cases were considered, including empty queues, duplicate patient Results The final solution successfully delivers real-time queue visibility across both receptionist and patient interfaces. Queue updates are synchronized instantly using Socket.io, eliminating the need for page refreshes. Wait times are calculated dynamically based on live queue data, improving transparency and patient awareness. The platform streamlines receptionist operations, reduces manual coordination effort, and provides a more organized clinic workflow. The solution demonstrates how digital queue management can significantly improve patient experience and operational efficiency in healthcare Reflection With additional time, I would expand the platform with AI-powered wait-time prediction, WhatsApp notifications, QR-code patient check-in, multi-clinic support, doctor availability tracking, and advanced analytics dashboards. I would also conduct usability testing with real clinic staff and patients to gather feedback and further optimize the workflow and user experience.