Study On The Schedule Of Multi-stage Day Surgery And Laminar Flow Inpatient Surgery

With the development of society,people's requirements for hospitals have evolved from the initial medical treatment to obtain high-quality medical services.In the hospital,besides the outpatient service,the surgical department is the most important part to measure the service level of a hospital.Whether the arrangement of the surgeries is reasonable or whether the surgical resource is allocated properly affects the health and life of the patients,so hospitals and patients pay high attention to the service quality of the surgical department.Therefore,in order to improve the service quality of the surgical department,shorten the waiting time of patients,avoid the deterioration of patients' conditions,make full use of surgical resource,and at the same time enhance the public image of the hospital,this thesis will study the hospital's surgery schedule.Through the research,it is found that the current surgical modes are mainly divided into day surgery and inpatient surgery in the hospital.This thesis mainly conducts a comprehensive study on these two surgical modes,and the main research contents are as follows.(1)On the basis of full research on the current status of surgery schedule in the hospital,the Analytic Hierarchy Process(AHP)is used to analyze the main factors that affect surgery schedule from six dimensions: human,machine,material,method,and environment.Simultaneously,the factors with strong correlation are included in the constraints of the surgery schedule;(2)Analyzing the current emerging surgical model——the basic connotation and operation mode of the day surgery,on this basis,the day surgery patients are chosen for scheduling.Considering the three stages and multi-dimensional key constraints in the surgical procedure,a mathematical model of multi-stage and multi-objective day surgery schedule is established based on the basic connotation of the extended model of the improved flexible job shop scheduling problem to describe the multi-stage schedule of the day surgery;(3)The improved non-dominated sorting genetic algorithm II(NSGA-?)is designed to solve the day surgery schedule model by combining with the actual surgical data of a Three-A hospital obtained from the survey.In order to obtain the optimal experimental parameters,multiple sets of test experiments are designed,and the model solution results under the optimal parameters are compared with the actual day surgery schedule in the hospital to verify the effectiveness and superiority of the model and algorithm;(4)For another surgical mode in the hospital——the laminar flow inpatient surgery,the uncertainty of the surgical time during the surgery is analyzed,and the stochastic programming is selected to deal with the schedule problem of laminar flow inpatient surgery with uncertain surgical time.At the same time,based on the main schedule idea of the laminar flow inpatient surgery schedule,the problem is divided into laminar flow operation room allocation and day schedule of inpatient surgery in a single department,and the two problems are modeled separately;(5)In order to solve the randomized laminar flow inpatient surgery schedule model,the Monte Carlo simulation is selected to simulate the random surgical time,and an Improved Three-stage No-wait Surgery Schedule(ITNSS)heuristic algorithm is proposed,which is combined with Discrete Particle Swarm Optimization(DPSO)algorithm to form DPSO-ITNSS algorithm to solve the model for day schedule of inpatient surgery in a single department;(6)Taking a Three-A hospital in Beijing as an example,a case analysis is used to verify the effectiveness and superiority of the model and algorithm.Finally,a comprehensive and quantitative analysis of the obtained surgery schedule schemes according to the different importance of the optimization objectives relative to the hospital is conducted,and relevant suggestions for hospital managers to choose the appropriate schedule from the solution collection are provided.