北京生物医学工程

多目标灰靶决策模型在医疗预约领域的应用研究

Research on the application of multi-object grey target decision model in the field of medical appointment

作者：韩乐琦项薇季孟忠吴成宇黄益槐彭俊

单位：宁波大学机械工程与力学学院(浙江宁波 315211),宁波大学先进储能技术与装备研究院(浙江宁波 315211), 龙游县检验检测研究院(浙江衢州324400), 温州职业技术学院(浙江温州325035),<br />通信作者:项薇。E-mail:Xiangwei@nbu.edu.cn

关键词：密集分布;柔性预约;仿真建模;决策研究;灰色模型

分类号：R318.04:C931

出版年·卷·期（页码）：2022·41·4（381-389）

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77~155min，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 analyzedand 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 modelthe 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 by77min to155min,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 mode 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.

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