MUHILAN M A

TokenTrack

QueueCure AI – Smart Real-Time Clinic Queue Management Across India, nearly 76% of clinics still rely on paper token slips, verbal announcements, and manual queue management. Patients often spend 2–3 hours waiting without knowing when their turn will arrive, leading to frustration, overcrowded waiting rooms, and wasted time. Receptionists manually track patient queues, remember token orders, handle walk-ins, answer repeated inquiries about waiting times, and manage doctor availability. This increases the chances of errors, skipped patients, and inefficient clinic operations. Doctors also lac Process I started by identifying a common problem in Indian clinics where patient queues are managed using paper tokens and manual announcements, causing long waiting times and confusion. After understanding the challenges faced by patients, receptionists, and doctors, I designed QueueCure AI, a real-time digital queue management system. The solution includes a Receptionist Dashboard to add patients, generate tokens, and call the next patient, and a Patient Waiting Room View that displays the current token, queue position, and estimated waiting time. To ensure instant updates between screens, I implemented real-time synchronization using Socket.io. To make the platform more innovative, I incorporated AI-based wait-time prediction, voice announcements, and support for multiple doctors. The system Results Reduced Patient Uncertainty: Patients can view their live queue position and estimated waiting time, eliminating confusion about when they will be called. Improved Clinic Efficiency: Receptionists can manage queues digitally, reducing manual work and minimizing token management errors. Real-Time Transparency: Instant synchronization ensures that queue updates are reflected immediately across all connected screens. Enhanced Patient Experience: Patients spend less time repeatedly checking with reception and can better plan their waiting time. Faster Queue Management: Automated token generation a Reflection Integrate WhatsApp/SMS Notifications: Allow patients to receive automatic updates when their turn is approaching, reducing the need to wait inside the clinic. Develop a More Advanced AI Model: Use larger datasets and machine learning techniques to provide more accurate wait-time predictions based on doctor behavior, patient type, and clinic workload. Add Online Appointment Booking: Enable patients to book appointments in advance and join the queue remotely. Implement Patient Feedback Collection: Gather feedback after each visit to help clinics improve service quality and patient satisfaction.