Optimizing Doctor Availability and Appointment Allocation in Hospitals through Digital Technology and AI Integration

Efficient doctor availability and appointment allocation are critical in improving healthcare delivery and patient satisfaction. Traditional scheduling methods often suffer from inefficiencies such as long waiting times, overbooking, and underutilization of medical professionals. Digital technology and artificial intelligence (AI) offer promising solutions to optimize these processes. This paper explores the integration of AI in appointment scheduling, analyzing existing methods, identifying research gaps, and proposing an enhanced AI-driven approach. The study discusses system design, implementation, expected outcomes, and future research directions. In modern healthcare systems, timely access to medical professionals remains a critical challenge due to rising patient volumes and inefficient appointment scheduling processes. This study explores the integration of digital technology and artificial intelligence (AI) to optimize doctor availability and streamline appointment allocation in hospitals. By leveraging intelligent systems, healthcare providers can minimize patient wait times, improve doctor utilization, and enhance overall service quality[1].