Vanita Gajanan Naik

Queue Cure 2026 – Live Healthcare Queue Management Platform

Many clinics still rely on paper tokens, manual announcements, and outdated queue systems, creating confusion for patients and additional workload for reception staff. Patients often lack visibility into their queue position and expected wait time, while staff spend valuable time answering repetitive inquiries. Queue Cure 2026 was developed to solve these challenges through a real-time digital queue management system that improves transparency, streamlines operations, and provides instant updates across all connected screens. Process The development process started by studying inefficiencies in conventional clinic queue systems and identifying the needs of patients, receptionists, and administrators. Based on these insights, I designed a centralized solution using Flask, SQLite, and WebSocket technology. The backend was structured to manage patient records, queue activities, settings, and historical data, followed by the creation of APIs for queue operations. Real-time synchronization was implemented through Flask-SocketIO, enabling instant updates across all interfaces without page refreshes. Multiple UI improvements were made to enhance usability, responsiveness, and accessibility. The system was thoroughly tested for edge cases, ensuring reliability, seamless communication, and an improved waiting experience. Results Queue Cure 2026 successfully replaced a traditional manual queue process with a real-time digital management system. The platform enables instant queue updates, live token tracking, automated wait-time estimation, and synchronized communication across all connected screens. By reducing manual coordination and improving visibility, the solution enhances operational efficiency and creates a smoother patient experience. The project demonstrates how real-time WebSocket technology can modernize healthcare workflows and support better service delivery. Reflection If given additional time, I would evolve Queue Cure 2026 into a complete smart clinic platform by introducing multi-doctor support, appointment scheduling, patient notifications, and QR-based self check-in. Future enhancements would include predictive wait-time analytics, role-based access control, and cloud-scale database infrastructure. While the current solution solves real-time queue visibility effectively, these improvements would create a more intelligent, automated, and scalable healthcare ecosystem capable of serving clinics of all sizes.