Karthickraja

Queue Cure AI+ – Real-Time Smart Clinic Queue Management Platform

Many clinics still rely on paper tokens and manual queue management. Patients often wait without knowing their queue position or expected waiting time, leading to frustration and repeated inquiries at the reception desk. Receptionists spend valuable time answering queue-related questions, while doctors lack visibility into patient flow. Queue Cure AI+ addresses this problem through digital token generation, real-time queue tracking, priority-based patient management, and wait-time estimation, creating a more transparent and efficient clinic experience. Process We began by studying traditional clinic workflows and mapping the patient journey from registration to consultation. We identified major pain points such as uncertainty in waiting times, repeated inquiries at reception, and lack of queue visibility. Our first prototype focused on digital token generation, but testing showed that patients also wanted real-time queue position and wait-time information. Based on this feedback, we introduced live queue tracking, estimated wait-time calculation, a patient portal, and priority-based queue management. We then designed a receptionist dashboard to simplify patient handling and improve operational visibility. Results Queue Cure AI+ successfully digitized clinic queue operations through automatic token generation, real-time queue tracking, and wait-time estimation. The solution provides complete queue visibility for patients while reducing repetitive inquiries at the reception desk. Priority-based patient handling improves emergency response, and the dashboard enables faster queue management. The platform creates a more transparent, organized, and efficient clinic experience while laying the foundation for future AI-driven healthcare workflow optimization. Reflection Given more time, I would integrate machine learning-based wait-time prediction using historical consultation patterns and patient categories. I would also add QR-based self check-in, multilingual support, SMS/WhatsApp notifications, and advanced doctor analytics. Conducting larger usability studies with clinic staff and patients would provide deeper insights to further improve the user experience and scalability of the platform.