CCRC模式与人工智能深度融合的实践探索——以泰康之家为例

Practical Exploration of the Deep Integration of CCRC Model and Artificial Intelligence—A Case Study of Taikang Community

摘要: 随着我国人口老龄化加速，传统养老模式与超3亿老年人多元化需求的矛盾凸显，银发经济与智能养老成为产业转型升级核心驱动力。为突破传统养老服务与运营瓶颈，推动其数字化智能化转型，以泰康之家为案例，探讨CCRC模式与人工智能深度融合赋能养老产业的服务管理创新路径。研究梳理相关理论与发展现状，结合文献研究法、案例分析法，剖析其智能养老服务体系，验证智能驱动模式可行性。研究表明，CCRC模式与人工智能深度融合可提升服务精准度与个性化，提炼的“智能驱动–场景融合–全周期保障”新范式，为产业发展、政策制定及企业实践提供参考，但该模式的高成本、普适性等局限亦需正视。

Abstract: With the acceleration of population aging in China, the contradiction between the traditional pension model and the diversified needs of over 300 million elderly people has become increasingly prominent. At the same time, the silver economy and intelligent elderly care have emerged as the core driving forces for the transformation and upgrading of the industry. To break through the bottlenecks in traditional elderly care services and operations, thereby promote their digital and intelligent transformation, this paper takes Taikang Community as a case study to explore the innovative path of service and management in the elderly care industry empowered by the deep integration of the CCRC model and artificial intelligence. By sorting out relevant theories and the current development situation, and combining the methods of literature research and case analysis, this study analyzes its intelligent elderly care service system and verifies the feasibility of the AI-driven model. The research shows that the deep integration of the CCRC model and artificial intelligence can improve the accuracy and personalization of services. The new paradigm of “AI-driven—Scenario Integration—Full-cycle Guarantee” refined in this study provides references for industrial development, policy formulation and corporate practice, while the limitations of this model such as high cost and poor universality also need to be faced squarely.