Healthcare operations are 24x7, and workforce scheduling is very important and complicated in managing healthcare, needing to deliver care effectively while dealing with limited resources. Traditional ways of scheduling take a lot of time, can have mistakes, and often do not consider the changing nature of healthcare. As the demand for healthcare rises and workforce gaps widen, scheduling solutions driven by AI could improve staff allocation, raise operational efficacy, and improve patient care. AI presents an effective way to tackle these challenges by potentially automating the scheduling process, optimizing shift allocations, and adjusting to changing patient care demands, thus enhancing healthcare service efficiency and decreasing expenses.

This paper reviews how AI tackles common scheduling issues such as shortages of nurses and doctors, overtime work, employee fatigue, and patient care requirements, offering a forward-thinking remedy for staffing obstacles in the field. This paper also reviews AI tools that can aid scheduling and suggests a way to use AI to boost efficiency, save money, and improve care quality.