Operation scheduling method by efficient anesthetist assignment using genetic algorithm

This paper proposes an operation scheduling method to assign an anesthetist efficiently. The work of anesthetist is divided into some anesthetic procedures for an operation, such as pretreatment, maintenance and observation of anesthesia, and recovering procedure from anesthesia, and work outside the operating room. The degree of urgency and busyness is different among the work. Anesthetist's behaviors during work are learned and recognized using wearable sensors and the work could be ranked based on the degree. A genetic algorithm was applied to solve the operation scheduling problem. The results of the simulation showed that the genetic algorithm approach appears to be useful for scheduling so as to make anesthetist's work more efficient bringing the risk under control.