• Shaikh Mazz Mohammad Oomair
• Vashi Diya Jitendrabhai
• Patil Prerna Pravin
• Pathan Safvan Khan Bismilla Khan
• Jitendrakumar B Upadhyay

Traditional appointment management in clinics often struggles with inefficiencies in appointment scheduling, record-keeping, and patient flow, especially in smaller medical facilities. Many existing healthcare systems prioritize large hospitals, leaving small and rural clinics without efficient digital support. These clinics rely on manual appointment handling, leading to long queues, delays, and unstructured record management. In this research paper, we analyze these challenges, referencing existing clinic systems and insights from a doctor’s survey. Our system addresses these gaps by introducing features like automated rescheduling, real-time queue management, and role-based analytics, overcoming the limitations of existing clinics and enhancing overall efficiency.

Appointment scheduling, Clinic management system, Flutter, Firebase, Role-based access, Queue management, Predictive Analytics, Adaptive Development Model, Receipt Generation.

"Enhancing Doctor Appointment Systems with Adaptive Rescheduling for Rural and Urban Clinics: BookMyDoc", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 12, page no.101-109, December-2025, Available :http://www.jetir.org/papers/JETIRHE06013.pdf

"Enhancing Doctor Appointment Systems with Adaptive Rescheduling for Rural and Urban Clinics: BookMyDoc", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 12, page no. pp101-109, December-2025, Available at : http://www.jetir.org/papers/JETIRHE06013.pdf