Outpatient Appointment Scheduling Method Considering Patient Behavior

Doctor resources generally exist the phenomenon of imbalance in diagnosis and treatment load,the implementation of appointment diagnosis and treatment system can effectively enhance the doctor reception plan and improve the utilization rate of resources.In the outpatient appointment scheduling system,the reservation source configuration rules affect the appointment experience and waiting time of patients,and the behaviors of patients’ breaking appointments and unpunctual arrival,the real-time entry behavior of non-reservation patients disturbs the reservation and service plan made by the hospital in varying degrees,and the hospital needs to make scheduling decisions according to the reservation and arrival of patients.The traditional appointment scheduling method lacks the analysis of patients’ behavior,so it is easy to cause uneven leisure of doctors and long waiting time when directly applied to hospital outpatient operation.Aiming at the outpatient appointment scheduling problem considering patients’ behavior,this thesis aims to coordinate the supply of medical resources with the needs of patients,improve the balance of doctors’ resource load,and shorten the waiting time of patients.From the three aspects of reservation scheduling process,reservation scheduling model construction and solving method,this thesis proposes a reservation scheduling framework based on discrete event simulation and genetic algorithm.It provides an effective method for outpatient appointment scheduling.The specific work is as follows:(1)Analysis of outpatient appointment scheduling process based on patient behavior.First of all,the types and characteristics of patients with different outpatient booking mechanisms are analyzed,and a hybrid booking mechanism is proposed according to the advantages of various mechanisms.Secondly,the behavior characteristics of patients are brought into the scheduling process of outpatient appointment,and the business model of patient consultation process is constructed.Finally,the basic concepts of queuing theory are introduced,the characteristics of outpatient reservation scheduling are analyzed,and the priority-based queuing rules for booking patients and real-time patients are proposed.(2)Construction of outpatient appointment scheduling simulation model based on discrete event simulation(DES).The outpatient reservation scheduling problem is divided into patient reservation problem and patient scheduling problem,and the mathematical model of outpatient reservation scheduling is constructed.On this basis,the DES-GA framework of outpatient reservation scheduling is designed.The discrete event simulation method is used to model the reservation scheduling scenario.Aiming at the patient reservation problem,the outpatient reservation number source configuration rules are designed by the combination of double booking and vacancy strategy;aiming at the patient scheduling problem,three scheduling rules are designed and the logical structure of each rule is analyzed.This provides a model basis for solving reservation scheduling rules.(3)Research on the solving method of outpatient appointment scheduling rules based on genetic algorithm(GA).The coding mode of reservation scheduling rules and genetic operator are designed,which are in line with the outpatient appointment scheduling scene.Through the orthogonal test method,the simulation results are compared,and the influence of the main parameters of the model is analyzed.The results show that with the increase of patients’ nonappointment rate,the time cost of the system increases;patients do not arrive on time will also cause an increase in time cost,while the fluctuation level of doctor service time has little effect on time cost.This thesis not only enriches the theoretical research on the influence of patients’ behavior in outpatient appointment scheduling,expands the application scenario of genetic algorithm,but also shortens the waiting time of patients,balances doctors’ workload,and provides support for hospital outpatient managers to adopt effective reservation scheduling strategy.