Study on Allocation Optimization of Remote Consultation Resources Based on Queueing Theory
基于排队论的远程会诊资源配置优化研究

摘要

为解决齐齐哈尔地区乡村百姓就诊难及院外病情管理难的问题及促进黑龙江省西部地区医疗行业进一步发展，区域远程会诊的线上就医模式成为当前疾病就诊的新型方式，虽可有效解决大众及偏远地区的治病难题，但仍存在资源配置不均的问题。而排队论又称为随机服务系统，主要通过建立数学模型，以对随机发生的需求提供服务的系统预测，已在交通、通信等日常生活中得到广泛应用，将其用于医疗远程会诊资源配置优化中，其分诊预诊方案，可减少急症患者排队等待时间，合理安排不同患者的就诊时长，改善患者就诊体验，提升医院精细化管理水平。基于此，本文就以远程会诊资源配置影响因素及采取排队论的应用价值展开研究，以期为临床工作者提供参考。

Abstract

In order to solve the problem of difficult public medical treatment and difficult off-hospital disease management and promote the further development of China's medical industry, the online medical treatment mode of remote consultation has become a new way of current disease medical treatment. Although it can effectively solve the treatment problem of the public and remote areas, there is still the problem of uneven resource allocation.And queuing theory, also known as random service system, mainly by establishing a mathematical model, to provide the demand to random service system prediction, has been widely used in transportation, communication, will be used for medical remote consultation resource allocation optimization, the triage plan, can reduce emergency patients waiting time, reasonable arrangement of different patients, improve patient experience, improve the level of fine management.Based on this, this paper studies the allocation of remote consultation resources and the application value of queuing theory to provide reference for clinical workers.