GUNANITHI E CSE

NexCare– Real-Time Smart Clinic Queue Management System

Many clinics continue to rely on paper token systems and manual queue management. Patients often wait for extended periods without visibility into their position in the queue, while receptionists manually coordinate patient flow through verbal announcements. This lack of transparency leads to patient frustration, operational inefficiencies, and increased administrative workload. Process CuraFlow AI digitizes clinic queue management through a real-time platform that synchronizes patient flow information across multiple interfaces. Receptionists manage tokens and patient queues while patients receive live updates regarding their queue position and estimated waiting time. The platform creates a transparent waiting experience while improving clinic operational efficiency. Receptionist Dashboard Add patient Generate token Call next patient Manage queue state Configure consultation duration Patient Waiting Screen Current token display Tokens ahead indicator Queue position tracking Estimated waiting time Real-Time Updates Socket.IO synchronization Live queue broadcasts Instant state updates Analytics Dashboard Queue statistics Patient throughput Consultation metrics Responsive Results Successfully developed a working real-time clinic queue management platform that replaces traditional paper token systems. Key outcomes: • Real-time synchronization between receptionist and patient screens without page refresh. • Dynamic wait-time estimation based on queue conditions rather than static values. • Improved queue visibility by showing current token, tokens ahead, and estimated waiting time. • Reduced receptionist dependency on manual announcements through centralized queue management. • Created a scalable architecture capable of supporting multiple doctors and clinics in future Reflection Given additional time, I would enhance the platform with QR-based patient tracking, AI-powered wait-time prediction, voice announcements, and multi-doctor queue optimization.I would also conduct usability testing with actual clinic staff to gather workflow feedback and improve the receptionist experience further. From a technical perspective, I would strengthen offline support, implement advanced analytics, and introduce role-based dashboards for administrators and doctors. Future iterations would focus on transforming the solution from a hackathon prototype into a production-ready healthcare.