Mahalingam

QUEUE CURE

Hospitals and clinics often face long patient waiting times due to manual registration and token management processes. Patients must stand in queues to register, check their token status, and wait for their turn, leading to overcrowding and frustration. Reception staff also spend significant time managing patient records and queues manually. QueueCure was developed to digitize patient registration, automate token generation, and provide real-time queue tracking, reducing waiting time and improving hospital efficiency. We began by analyzing common challenges faced in hospitals, including long queues, manual record keeping, and inefficient patient flow. We researched existing queue management systems and identified opportunities for improvement. The solution was designed using Flask for the backend and MongoDB for patient data storage. We created modules for patient registration, token generation, patient search, and queue monitoring. Several UI layouts were tested to ensure a simple and user-friendly experience for both patients and hospital staff. During development, we faced challenges in maintaining unique token numbers and retrieving patient records efficiently. These issues were resolved by implementing automated token assignment and MongoDB indexing. Continuous testing helped improve system relia QueueCure successfully digitized the patient queue management process. The system reduced manual paperwork, streamlined patient registration, and enabled real-time token tracking. Patients could quickly check their queue status, while hospital staff managed records more efficiently. The solution demonstrated the potential to reduce patient waiting time from approximately 30 minutes to less than 10 minutes and significantly decrease reception desk workload. If given more time, I would add online appointment booking, SMS/WhatsApp token notifications, AI-based waiting time prediction, doctor availability tracking, and a patient mobile application. I would also conduct user testing with hospital staff and patients to gather feedback and further improve usability and accessibility.