The operating room (OR) is a complex environment that accounts for a significant proportion of total hospital revenue and expenses. Efficient management of patient throughput is necessary to optimize this valuable resource. Accurate scheduling of surgical cases can improve OR efficiency, and yet, it is fraught with inherent challenges. Various strategies aimed at first case ontime starts, OR turnover times, and delays in postanesthesia care unit (PACU) admissions are used to manage patient throughput and will be discussed in detail. The impact of perioperative teams, trainees, and clinical expertise are some of the additional considerations for OR efficiency. Machine learning methods, in combination with large electronic health databases, are a more recent approach to further optimize patient throughput from the preoperative arena to the PACU.