Research On Outpatient Doctor Scheduling Based On Multi-position Skills

With the continuous advancement of medical system reform,the construction of medical resources in China has been greatly improved,but in the face of rapidly increasing medical demand,the existing medical resources,especially the number of outpatient doctors,are still relatively short.How to arrange the relatively scarce outpatient doctors reasonably to meet the medical needs to the greatest extent is an important problem that many hospital administrators need to face.At present,many hospitals are manually scheduled by managers to outpatient doctors,which is not only inefficient,but also cannot take into account the labor intensity and rest rights of doctors.In addition,in some hospital departments,there are many doctors with multiple job skills at the same time,which on the one hand increases the flexibility of department scheduling,but on the other hand increases the complexity and difficulty of scheduling.In this context,this thesis studies the scheduling problem of multi-position skilled outpatient doctors,hoping to effectively schedule doctors and improve the scheduling efficiency.The main research contents of this thesis are as follows:(1)Basic modeling of multi-position skill outpatient doctor scheduling and scheduling.In order to balance the relationship between the demand and supply of hospital department scheduling and improve the efficiency of scheduling,a multi-position skilled doctor scheduling model was established and corresponding algorithms were designed.Firstly,the general constraints of multi-position skilled doctors are determined,and then the integer programming model is established.Finally,taking the dermatology department of a third-class hospital in Shijiazhuang as an example,using the model and calling the CPLEX solver,the solution time was1.63 seconds,which greatly reduced the time required for scheduling compared with manual scheduling.The results show that the model and algorithm can improve the efficiency of shift work and realize the rational use of multi-position skilled doctor resources.(2)Multi-position skills doctor scheduling considering doctors’ rest rights.In order to ensure the rest rights and interests of multi-position skilled outpatient doctors,on the basis of the research on the scheduling scheduling of multi-position skilled outpatient doctors,the number of normal weekend breaks and continuous working days of doctors are limited,and the scheduling model is established with the maximum satisfaction of the scheduling scheme as the optimization goal,and a genetic algorithm is designed to solve it.Applying the model to the dermatology department of the hospital,it is found that the number of people who can rest on normal weekends is increased by 300% compared with the scheduling scheme that does not consider the doctor’s rest rights,and the number of continuous working days of doctors is reduced by 50%.Studies have shown that the model and algorithm can increase the number of doctors who take normal weekend breaks in a shift cycle and reduce the number of consecutive days doctors work.(3)Consider balanced multi-position skill doctor scheduling scheduling.The day is divided into three shifts,and the intensity of work in each shift is determined according to the number of patients.With the goal of minimizing the difference in work intensity between doctors,on the basis of balancing job demand and supply,the workload difference between doctors is limited,a scheduling model is established,and particle swarm optimization is designed to solve it.Applying the model to the hospital dermatology department,it is found that compared with the scheduling scheme without balance,the objective function of the scheduling scheme considering equilibrium is reduced by 20%,the difference between the work intensity between the doctors with the largest and the smallest work intensity is reduced by 23.8%,and the difference in the number of night shifts of different doctors is reduced by 75%.The optimized scheduling scheme can effectively balance the intensity of work between doctors and reduce the difference in workload between doctors.