Author(s): Anjali Patel and Ravi Gor

Abstract: Long patient waiting times and inefficient service delivery are common challenges in dental healthcare systems, leading to dissatisfaction and operational inefficiencies. This study employs queueing theory to analyze and optimize patient flow at a dental hospital in Ahmedabad, India. By modeling the arrival and service patterns of patients, we evaluate key performance metrics such as average waiting time, queue length, server utilization, and system efficiency. Data was collected through direct observation and hospital records to fit appropriate queueing models (e.g., M/M/1 or M/M/c). The analysis identifies bottlenecks in the current system and proposes data-driven recommendations for resource allocation, staff scheduling, and process improvements to minimize delays and enhance service quality. The findings provide actionable insights for dental hospitals to improve patient satisfaction and operational performance while maintaining cost-effectiveness.

Pages: 06-10 | Views: 23 | Downloads: 3

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