Optimization of MRI appointment scheduling based on multiple-population differential evolution algorithm
10.19745/j.1003-8868.2025111
- VernacularTitle:基于多种群差分进化算法的MRI预约调度优化研究
- Author:
Xiao-yan LU
1
;
Cheng-you LIU
;
Jia XU
;
Wen SU
Author Information
1. 南京医科大学附属南京医院(南京市第一医院)医学影像科,南京 210006
- Publication Type:Journal Article
- Keywords:
multi-population differential evolution;
MRI examination;
appointment scheduling;
appointment schedu-ling rule
- From:
Chinese Medical Equipment Journal
2025;46(6):88-92
- CountryChina
- Language:Chinese
-
Abstract:
Objective To optimize the appointment scheduling for MRI examinations to provide new ideas for solving the problems of MRI examinations in resource optimization.Methods A simulation model of time-sharing MRI examination appointment rules was established by conducting a field survey on the MRI examination process in the hospital imaging department.The appointment scheduling rule for MRI examination slots was optimized with the empirical distributions of MRI examination time and patient tardiness time as the input parameters and the weighted averages of patient waiting time,doctor overtime time and equipment idle time as the objective functions.The optimal time slot length and the number of examination sites for each time slot were determined based on the multiple-population differential evolution algorithm,and the response of the appointment scheduling rule to parameter variations was investigated by sensitivity analysis.Results Simulation results showed that the optimal time slot length was 15 min,and that the optimized rule significantly gained advantages over the existing rule in terms of interference resistance when the patient tardiness rate and the number of devices varied.Conclusion The optimized appointment scheduling for MRI examinations based on the multiple-population differential evolution algorithm contributes to enhancing the patient experience and the efficiency of MRI examinations.[Chinese Medical Equipment Journal,2025,46(6):88-92]
