摘要
目的针对目前国内医疗机构普遍以步入式患者求诊为主且存在密集负荷到达情况,分析混合模式下最优预约及排队规则决策,完善门诊预约系统。方法将多目标灰靶决策模型引入到柔性预约中,基于历史平均人数、2倍人数、2.25倍人数3种不同负荷到达情形实现就诊负荷的均衡化,并仿真验证该柔性预约模型的优越性。结果引入柔性预约模型后,孕妇就诊增值比提高,同时从全流程角度可以看出不同负荷情况等待时间降低77~155 min,从均值角度得到平均医院停留时间降低率为16.4%~25.3%。结论柔性预约模型在患者等待时间、医院停留时间等多个评价指标下能够有效改善现有医院运作状态,缓解就诊压力,提高医院效率。
Objective In view of the current domestic medical institutions generally focusing on walk-in patient consultations and the presence of intensive load arrivals,the optimal appointment and queuing rule decisions under the hybrid mode are analyzed,and the outpatient appointment system is improved.Methods The multi-object grey target decision model is introduced into the flexible appointment,based on the historical average number of people,twice the number of people,and 2.25 times the number of people as different load arrival situations to achieve the balance of the medical load,and the superiority of the flexible appointment model is verified by simulation.Results After the introduction of the flexible appointment model,the value-added ratio of pregnant women’s visits has increased.From the perspective of the whole process,the waiting time under different load conditions is reduced by 77min to 155min,and the average reduction rate of hospital stay time is 16.4%to 25.3%from the perspective of the average value.Conclusions The flexible appointment model can effectively improve the operation status of the existing hospital under multiple evaluation indicators such as patient waiting time and hospital stay time,alleviate the hospital visit pressure,and improve the efficiency of the hospital.
作者
韩乐琦
项薇
季孟忠
吴成宇
黄益槐
彭俊
HAN Leqi;XIANG Wei;JI Mengzhong;WU Chengyu;HUANG Yihuai;PENG Jun(School of Mechanical Engineering and Mechanics,Ningbo University,Ningbo,Zhejiang Province 315211;Institute of Advanced Energy Storage Technology and Equipment,Ningbo University,Ningbo,Zhejiang Province 315211;Longyou County Inspection and Testing Institute,Quzhou,Zhejiang Province 324400;Wenzhou Polytechnic,Wenzhou,Zhejiang Province 325035)
出处
《北京生物医学工程》
2022年第4期381-389,共9页
Beijing Biomedical Engineering
基金
宁波市自然科学基金(202000061)资助。
关键词
密集分布
柔性预约
仿真建模
决策研究
灰色模型
dense distribution
flexible appointment
simulation modeling
decision research
grey model
