Study On The Configuration Planning Of Beds For Single Department In Hospital

The total supply of medical resources and people's growing demand for medical services are still not balanced,and the problems such as "difficulty and high cost of getting medical service" are prominent.As an important medical resource,the hospital beds affect the service efficiency of the entire system.Therefore,this thesis mainly focuses on the configuration planning of bed resources in a single department.We configure the number of beds in the department reasonably according to the historical data on patients and patient-related information,and do analysis and modeling to the bed arrangement planning for the surgery patients who are waiting for hospitalization.The main contents of this thesis include the following aspects:(1)The method of grey relational analysis is used to analyze the related factors that affect the utilization efficiency of bed resources in China in recent years,the various influencing factors are sorted and the key factor that affect the resource utilization efficiency of the beds are found according to the calculated correlation value.After analyzing the results,the related research direction is determined.The study is based on the allocation of overall bed resources and the bed arrangement planning for hospitalized patients.(2)As the hospital inpatient system is a complex service system,this thesis designs the Monte Carlo simulation process to determine the minimum bed scale that should be deployed in the department,and the simulation processes of the hospitalization system without prioritized patients and the hospitalization system with priority(considering the emergency patients)are designed and verified respectively.At the same time,the queuing theory is applied to establish a programming model based on the minimum waiting time of patients.The results of the two methods can be used as the best bed scale range that the department should configure.(3)In order to speed up the patient flow rate to improve the utilization efficiency of the beds and reduce the related costs,this thesis studies the bed scheduling of surgical patients who are waiting for admission.Under the given assumptions,the mixed integer programming model is established considering the patient's gender,bed distribution and surgical constraints respectively in order to minimize the patient's transfer costs and waiting costs.(4)Taking a certain ophthalmology as an example,we analyze and validate the bed configuration simulation method and the bed programming model of patients proposed in this thesis.It is deduced that the current bed scale of the department cannot meet the long-term needs of patients through the simulation,and the scale interval of beds that the department should be configured is determined by applying the proposed method.We solve the mixed integer programming model by Cplex solver.The result shows that the programming model is validated by comparison with the first-come-first-served solution.Meanwhile,the result has obvious advantages.It takes into account not only the order of the patients,but also all the patients being arranged in the given cycle,and it ensures that there is no significant loss due to the transfer of patients.This thesis mainly determine the size of bed resources in a single department through the Monte Carlo simulation and queuing theory,in order to avoid excessive scale expansion;At the same time,we establish a mixed integer programming model to arrange the beds for the patients who are waiting for hospitalization,in order to speed up the flow rate of patients through the reasonable arrangements.This study has important theoretical significance to relieve the problems such as the increasing demands for medical resources and difficult hospitalization.