Practice Research on Unpunctual Outpatient Treatment Appointment Based on Stochastic Programming Model
Currently,many outpatient treatment appointment arrangements assume that patients arrive on time.However,not being on time is a random factor that causes some patients to be unable to replace wound dressings in a timely manner,leading to sustained inflammation of the patient's wound.Therefore,a stochastic programming model is established to solve the outpa-tient treatment appointment scheduling problem(OS-U)considering non punctuality.Further comparison is made between the performance of the OS-U system and the strictly on time(OS-P)system.The OS-U problem is solved by Benders decomposi-tion combined with sample average approximation(BD-SAA)technology.The experimental results indicate that when consid-ering non punctuality,the appointment rules will change.The OS-P system arranges the first two patients together at the be-ginning of a treatment course,while the OS-U system arranges them at different appointment times.The OS-U system can ef-fectively reduce Type Ⅰ and Type Ⅱ errors.The research results can provide a reference basis for the practice of delayed outpa-tient appointments.
万方数据
维普
