Optimization of Operating Rooms Using Machine Learning Models and Artificial Intelligence

The desire for healthcare services, particularly hospitals, is rising as the nation's population continues to grow. Hospital administration and management are under pressure due to the accelerating increase in patients attending hospitals. Streamlining hospital processes for adequate patient flow and effective resource management is critical. The heart of hospitals is the operating rooms. They constitute a significant income stream and are frequently considered a barrier in the healthcare system. Numerous initiatives are taken to improve clinical outcomes, patient comfort, throughput, costs, and profits. This article thoroughly examines the algorithmic methods for operating room optimization based on machine learning and artificial intelligence. ML has much promise for organizing the OR, but more research is required to determine how well these new techniques will function in perioperative care.