分层级入院视角下医联体系统转诊策略与协同机制研究
批准号:
72104076
项目类别:
青年科学基金项目(C类)
资助金额:
30.0 万元
负责人:
李佳玲
依托单位:
学科分类:
医药管理与政策
结题年份:
2024
批准年份:
2021
项目状态:
已结题
项目参与者:
李佳玲
中文摘要
医联体建设是分级医疗改革的重要途径和分级诊疗制度落实的有效载体。但在实际推行中,医联体系统内部患者无序流动、缺乏科学合理转诊策略与有效分工协作机制,医联体政策未能达到预期效果。本课题立足医联体运行现状,以大型综合医院作为突破点,聚焦患者入院需求,运用机器学习、多准则决策、排队博弈理论、系统仿真等理论方法,深入开展跨区域背景下以大型综合医院为核心的医联体转诊策略与协同机制研究。首先从数据驱动和多准则决策方法两个维度,依次展开患者入院优先级决策研究,为医院处理不同场景下患者分级分类提供技术支持。然后,运用排队理论构建医联体转诊系统理论模型,分别从系统协调性与合作的稳定性出发,开展医联体系统转诊决策和激励机制设计研究。最后,通过系统模拟仿真探讨多优化目标场景和多因素交互作用的医联体服务系统协同策略与效果研究。本研究为政府制定医联体服务系统转诊策略提供科学理论依据和决策支持。
英文摘要
The construction of the medical consortium is an important way for hierarchical medical reform and an effective carrier for the implementation of the hierarchical diagnosis and treatment system. However, the disorderly flow of patients within the medical consortium system, the lack of scientific and reasonable referral strategies and an effective division of labor and coordination mechanism, the medical consortium policy failed to achieve the expected results.This project is based on the status of the medical consortium, with large general hospitals as a breakthrough point, focusing on the needs of patients for admission, using machine learning, multi-criteria decision-making, queuing theory, game theory, and simulation methods to deeply study medical consortium referral strategies and coordination mechanisms with large general hospitals as the core in a cross-regional context. Firstly, use data-driven and multi-criteria decision-making methods to successively carry out research on decision-making of patient admission priority, and provide technical support for hospitals to handle patient classification in different scenarios. Then, the queuing theory is used to construct the theoretical model of the medical consortium referral system, starting from the coordination of the system and the stability of cooperation, to carry out the research on medical consortium system referral decision-making and incentive mechanism design. Finally, through system simulation, the collaborative strategy and effect evaluation of the medical consortium service system with multiple optimization target scenarios and multi-factor interaction are discussed. This research provides scientific theoretical basis and decision support for the government to formulate the referral strategy of the medical consortium service system.
项目聚焦于大型综合医院面临的供需矛盾问题,即有限住院医疗资源难以满足多类型入院需求,且优质医疗资源与患者需求不匹配。主要研究内容总结为两大主题:单体医院内部的若干决策问题和医联体系统转诊协调机制研究。在单体医院决策方面,项目以慢病儿童救助优先级评价为例,构建了包含45项三级指标的优先级评价指标体系,为入院优先级决策提供了应用场景;考虑环境因素对病床分配的影响,研究急诊与择期患者的病床产能分配策略,为医院病床管理者提供决策支持;同时,探讨公共卫生突发场景下,以效率为视角的湖南省三级公立医院韧性评价及影响因素研究,揭示了影响医院韧性的关键因素,为单体医院优化入院计划和应对突发事件提供了参考。此外,还深入探讨了公立医院高质量发展的多元路径和公立医院公益性研究的热点及演进趋势。在医联体转诊协调机制方面,项目构建了医联体有效性评价指标体系,分析了松散型医联体中患者上转策略的演进,并基于成本共担契约理论,研究医联体下转协调策略。研究成果为医疗机构提供了决策支持,也为医疗政策制定者提供了有价值的参考,有助于推动医疗资源的优化配置和高效利用以及提升医疗联合体的整体效能和患者满意度。依托本课题在国内外学术期刊上发表论文6篇,其中SCI/EI检索2篇,北大核心/CSCD检索论文2篇,尚有2篇论文处于待投稿状态,并计划出版专著一部。
数智驱动的罕见病诊疗决策、转诊演化与协调机制研究
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批准号:2025JJ60476
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项目类别:省市级项目
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资助金额:0.0万元
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批准年份:2025
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负责人:李佳玲
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依托单位:
国内基金
海外基金