Those responsible for hospital decision-making are increasingly aware of the need to effectively manage the hospital system. One option is the queuing model. This is what we often call the intelligent queuing machine. In this work, the emergency services of public hospitals are analyzed by applying the concept and relationship of queuing. Based on the results of the model, it is concluded that the emergency area does not include the minimum number of doctors required for continuous patient flow. Using this model, it is possible to calculate the minimum number of doctors who meet current and future service needs and have the same service time and service discipline. The analytical model allows a direct understanding of the existing relationship between service needs, the number of doctors and the priority of attention of patients treated as a cohort system. This job is useful for managers and those responsible for hospital system management.

Discuss the emergency service system by constructing a queuing model. Generally, the queuing system is mainly composed of four modules: customer source, queue, queuing rules and service organization. In the medical system, in the emergency queuing system, we consider using two types of patients (emergency and non-emergency patients), and these two patients receive services on a first-come, first-served basis. Especially in the diagnosis and treatment process in the emergency department, patients with complicated conditions usually require longer total treatment time, and patients with mild symptoms spend relatively less time in the hospital.