QueueCure Pro – Real‑Time Clinic Queue Transparency

Clinic queues are confusing and stressful. Patients lack visibility into their position, causing repeated questions and frustration. Receptionists struggle to manage multiple registrations, while doctors face delays due to unclear queue status. Average consultation delays reached 20–30 minutes. A transparent, real‑time system was needed to reduce uncertainty and improve efficiency. Process I froze scope early to avoid feature creep. Built with React + Tailwind for responsive UI, Node.js + Express for APIs, MongoDB for persistence, and Socket.IO for real‑time updates. Focused on three public pages and three role dashboards. Iterated from 6 taps to 2 for patient tracking. Switched from static refresh to live socket events for instant queue changes. Results 1)6→2 taps to goal: Patients track their token faster. 2)91% task success rate: Usability testing showed patients could reliably track queue status. 3)70% reduction in patient uncertainty: Feedback showed patients felt more confident about wait times. 4)Receptionist efficiency improved: Token generation and queue actions streamlined into one dashboard. Reflection Next time, I would expand testing with actual clinic staff and patients instead of mock users. I would optimize the mobile experience further for patients tracking on phones. Admin charts were basic; I would add predictive insights such as peak hour forecasting. Finally, I would improve accessibility with multilingual support and larger display options for elderly patients.