Efficient allocation of staff and resources is critical for operating rooms to deliver timely, high-quality surgical care. However, OR managers face challenges in optimizing staffing, including unpredictable volumes, staff shortages and turnover, and complex scheduling. These issues can lead to mismatches between staffing and surgical demands, and suboptimal utilization of OR time and resources.
Artificial intelligence (AI) solutions are transforming OR management by enabling data-driven, predictive staff planning. By applying machine learning to historical surgical data, AI systems can forecast case volumes and recommend precise staffing and scheduling decisions. Additionally, AI can match cases to the right staff and equipment, adapt to fluctuations in OR workload, and identify inefficiencies. Integrating AI in the OR can greatly improve productivity, lower costs, enhance work satisfaction, and achieve better patient outcomes. OR managers should evaluate how AI analytics and decision support can lead to more flexible, resilient, and efficient staffing models.