工业工程2025，Vol.28Issue(5)：18-34,17.DOI:10.3969/j.issn.1007-7375.250087
医联体模式下双向转诊中的医患匹配模型
Doctor-Patient Matching in Two-way Referrals under the Medical Alliance Model
摘要
Abstract
To precisely match medical needs and optimize resource allocation,a doctor-patient matching model in two-way referrals under the medical alliance model has been established.Firstly,the doctor evaluation framework was constructed based on the iceberg theory,and the doctor evaluation model of bidirectional referral was obtained by combining the evaluation indexes considered by up-and-down referrals.The support vector machine algorithm was used to predict the patient's disease type,and the random forest algorithm was used to obtain the patient evaluation model after mining the risk factors,thus constructing a complete evaluation system for the doctor competency model and patient characteristic profile at the referral stage.Secondly,the first round of doctor-patient matching was conducted based on the Gale-Shapley algorithm,incorporating the patients' disease risks.Additionally,by integrating personalized rankings,patients' requirements were fulfilled to enhance matching satisfaction.Then,the dynamic multi-objective optimization algorithm was employed to achieve precise matching for all patients.Finally,the feasibility and accuracy of the model were verified by numerical experiments using the real data of Haodaifu website and offline hospitals.关键词
医联体/双向转诊/医患匹配/分级诊疗/机器学习/多目标优化Key words
medical alliance/two-way referrals/doctor-patient matching/hierarchical diagnosis and treatment/machine learning/multi-objective optimization分类
预防医学引用本文复制引用
杜刚,李梦圆,闵思齐..医联体模式下双向转诊中的医患匹配模型[J].工业工程,2025,28(5):18-34,17.基金项目
国家自然科学基金资助项目(72072056,72471090) （72072056,72471090）
重庆市自然科学基金资助项目(CSTB2023NSCQ-MSX0552) （CSTB2023NSCQ-MSX0552）
中央高校基本科研业务费项目华东师范大学文理交叉跨学科培育项目(2025ECNU-WLJC002) （2025ECNU-WLJC002）
