OptiCare: Transforming Senior Healthcare Scheduling through Ant Colony System Algorithm Optimization

Abstract

Efficient scheduling in senior healthcare is essential for ensuring timely access to quality care. This study presents OptiCare, a framework designed to enhance senior healthcare appointment scheduling using the Ant Colony System (ACS) algorithm. The primary goal of OptiCare is to develop a comprehensive framework for optimizing the scheduling process in senior healthcare settings. The methodology involves the design and implementation of a scheduling model that integrates the ACS algorithm with key healthcare parameters, such as patient preferences, staff availability, and treatment requirements. The model is validated using real-world data from senior healthcare facilities to assess its effectiveness in improving scheduling processes. Results indicate that the OptiCare framework significantly improves scheduling efficiency, reducing patient wait times and maximizing the utilization of healthcare resources. The discussion explores the implications of these findings and the potential benefits of implementing OptiCare in senior healthcare settings. In conclusion, OptiCare offers a valuable framework for enhancing senior healthcare appointment scheduling, emphasizing the importance of integrating advanced optimization algorithms into scheduling processes to improve overall efficiency and quality of care.