Enhancing Hospital Operational Efficiency through AI-Driven Resource Allocation
Abstract
This study explores the use of artificial intelligence to optimize resource allocation and improve operational efficiency in hospital settings. By analyzing patient flow data, staffing schedules, and equipment utilization patterns, a novel AI-based optimization framework is developed to dynamically allocate resources such as beds, staff, and medical supplies. The research demonstrates significant improvements in resource utilization, patient throughput, and healthcare service delivery, thereby addressing the challenges of resource scarcity and overcrowding in hospitals.
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