基于六位一体框架的精准医学整合医疗模式构建与实践

Constructing and Implementing an Integrated Healthcare Model for Precision Medicine Based on the Six-in-One Framework

摘要: 在精准医学和数字健康加速融合的时代背景下，传统以疾病为中心的医疗体系正面临深刻变革。整合医疗模式通过打破学科壁垒、重塑医患关系、延伸照护网络，成为实现个性化医疗的关键路径。基于前沿文献的综合分析，本研究对“六位一体”整合医疗框架进行了系统性重构，并提出以多组学驱动诊疗决策、数字技术增强连续管理、患者参与重塑价值体系、资源优化提升可及性及循环式质量评估为核心的实践逻辑。在慢性病管理、精准肿瘤学及罕见病网络化照护中的应用案例显示，该框架能够显著提升诊断精度、改善治疗反应、优化疾病轨迹管理，并促进医疗资源的跨机构流动。面对数据孤岛、支付体系滞后、医务人员能力转型等阻力，进一步提出以数据标准化、价值导向支付、跨界人才培养和参与式健康管理为核心的系统性改革策略，旨在为个性化医疗时代的系统治理提供可落地的框架模式和政策启示。

Abstract: Against the backdrop of accelerating convergence between precision medicine and digital health, traditional disease-centered healthcare systems are undergoing profound transformation. Integrated care, by breaking down disciplinary silos, reshaping clinician-patient relationships, and extending networks of care, has emerged as a key pathway toward truly personalized medicine. Based on a comprehensive synthesis of cutting-edge literature, this study systematically reconstructs the “Six-in-One” integrated care framework and proposes an actionable practice logic centered on: multi-omics-driven clinical decision-making; digital technologies that strengthen longitudinal and continuous management; patient engagement that redefines the value system; resource optimization to improve accessibility; and cyclical quality assessment for continuous improvement. Application cases in chronic disease management, precision oncology, and networked care for rare diseases indicate that the framework can substantially enhance diagnostic accuracy, improve therapeutic responses, optimize disease-trajectory management, and facilitate cross-institutional mobility of healthcare resources. In response to persistent barriers—including data silos, lagging payment systems, and the need for workforce capability transformation—we further propose a set of system-level reform strategies focused on data standardization, value-based payment, cross-sector talent development, and participatory health management. Collectively, these efforts aim to provide an implementable framework and policy insights for system governance in the era of personalized medicine.