上海交通大学学报

上海交通大学学报 >

2022 , Vol. 56 >Issue 8: 1067 - 1077

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2021.122

生物医学工程

面向时变需求的多等级急诊患者入院控制

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  • 1.上海交通大学 机械与动力工程学院,上海 200240
    2.上海交通大学医学院附属瑞金医院 急诊科,上海 200025
徐 捷(1997-),男,安徽省池州市人,硕士生,研究方向为医疗服务管理和随机系统建模优化.

收稿日期: 2021-06-17

  网络出版日期: 2022-08-26

基金资助

国家社会科学基金资助项目(19BGL245)

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Admission Control of Multi-Level Emergency Patients with Time-Varying Demands

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  • 1. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
    2. Department of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China

Received date: 2021-06-17

  Online published: 2022-08-26

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摘要

建立患者准入控制的Markov决策过程(MDP)模型,并基于均匀化方法对该模型进行拓展,实现逐时段的实时决策过程.拓展经典MDP迭代求解方法,提出双向迭代算法、逐时段策略迭代算法等方法对模型求解.以上海某大型医院抢救室为例,数值实验表明:对比现有决策方法,所提出的新方法可以提高危重患者的接收率,提升急诊医疗的服务水平.

关键词： 患者入院控制; Markov决策过程; 均匀化方法; 时变需求

本文引用格式

徐捷, 王子翔, 刘玉欣, 刘冉, 杨之涛 . 面向时变需求的多等级急诊患者入院控制[J]. 上海交通大学学报, 2022 , 56(8) : 1067 -1077 . DOI: 10.16183/j.cnki.jsjtu.2021.122

Abstract

The Markov decision process (MDP) model is developed for the patient admission control problem and is extended based on the uniformization method to realize a real-time period-by-period decision process. The classical MDP iterative method is extended, and the two-way iteration algorithm and the two-way threshold iteration algorithm are proposed to solve the new model. Numerical experiments are conducted based on the data from the resuscitation room of a large hospital in Shanghai. The results show that the proposed method can improve the admission rate of critical patients and enhance the medical service level of the hospital compared with the existing decision method.

Key words： patient admission control; Markov decision process(MDP); uniformization method; time-varying demands

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