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医疗检测中基于排队理论的AI辅助检测应用

ZHAN Wentao YUAN Xuchuan BAI Xue ZHENG Siyi LI Weifeng JIANG Minghui LIU Jida

系统管理学报2025,Vol.34Issue(5):1327-1341,15.
系统管理学报2025,Vol.34Issue(5):1327-1341,15.DOI:10.3969/j.issn2097-4558.2025.05.011

医疗检测中基于排队理论的AI辅助检测应用

Application Research of Ai-Assisted Detection Based on Queuing Theory in Medical Detection

ZHAN Wentao 1YUAN Xuchuan 2BAI Xue 1ZHENG Siyi 3LI Weifeng 1JIANG Minghui 1LIU Jida1

作者信息

  • 1. School of Management,Harbin Institute of Technology,Harbin 150006,China
  • 2. School of Business,University of Social Sciences,Singapore 599494,Singapore
  • 3. Tongji Medical College,Huazhong University of Science and Technology,Wuhan 430030,China
  • 折叠

摘要

Abstract

With the rapid development of artificial intelligence(AI)technology,AI-assisted detection has shown great potential in the medical field.Medical testing focuses on patient queue congestion,as well as the efficiency and accuracy of detection.Therefore,this paper develops a medical detection model under AI-assisted detection based on the queuing theory,considering the heterogeneity between traditional doctors and AI specialist doctors.Traditional doctors use conventional methods for detection,while AI specialist doctors conduct detection based on information from AI-assisted detection.The findings indicate that AI-assisted detection does not necessarily improve the detection capacity of the medical system.It only enhances the overall detection capacity when the throughput of the detection systems of traditional doctors and AI specialist doctors does not differ significantly.Furthermore,the heterogeneity of patients can lead to a decrease in system throughput,hindering the application of AI-assisted detection.Additionally,when AI-assisted detection can improve system throughput,public hospitals are more inclined to adopt AI-assisted detection compared to private hospitals,and vice versa.This paper provides substantial theoretical support for strategies and management decisions in using AI in medical testing,and offers valuable guidance for the optimization of future medical testing.

关键词

智能医疗/排队论/决策制定/AI辅助检测/医生异质性

Key words

intelligent medical treatment/queuing theory/decision making/artificial intelligence(AI)-assisted detection/physician heterogeneity

分类

管理科学

引用本文复制引用

ZHAN Wentao,YUAN Xuchuan,BAI Xue,ZHENG Siyi,LI Weifeng,JIANG Minghui,LIU Jida..医疗检测中基于排队理论的AI辅助检测应用[J].系统管理学报,2025,34(5):1327-1341,15.

基金项目

国家自然科学基金青年科学基金资助项目(72202088) (72202088)

甘肃省基础研究计划—软科学专项资助项目(22JR4ZA039) (22JR4ZA039)

甘肃省软科学专项青年项目(23JRZA391) (23JRZA391)

中央高校基本科研业务费专项资金资助项目(22lzujbkydx028) (22lzujbkydx028)

系统管理学报

OA北大核心

2097-4558

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