老年人健康需综合生理、心理、功能和社会4方面管理，以科学方式延缓衰退、防病增寿、提升生活满意度。然而，我国老年人面临慢性疾病、健康管理意识薄弱、心理服务缺失及数字工具使用障碍等挑战，加之独居、空巢比例上升，社会支持不足，医疗资源不均，进一步加剧健康风险。新质生产力赋能养老成为破局关键，智能穿戴、智慧医疗等技术可提升医疗可及性和管理效率。人工智能（artificial intelligence，AI）机器人缓解孤独，数字技术实现精准健康管理。可整合长期护理保险和社区智慧康养资源，形成一站式养老新模式。智能监测与远程医疗、数字疗法、虚拟现实等技术等可应用于疾病管理、康复训练，优化治疗方案。智慧养老与居家照护结合AI营养师、区块链等技术，可提供个性化服务。数据驱动可实现精准健康管理，兼顾隐私安全，构建闭环服务。社区智慧康养通过智能环境感知、AI健康小屋等提供数字化社交与情感关怀，优化服务质量。预期效果包括意外识别率提高、响应时间缩短、事故率下降、自理能力提升等，科技赋能助老年人享受安全、便捷的高质量的医疗和大健康。

The health of the elderly needs to be managed in four dimensions: physiological, psychological, functional and  social, so as to delay decline, prevent diseases and increase longevity, and improve life satisfaction in a scientific way. However, the  elderly in China face challenges such as chronic diseases, weak awareness of health management, lack of psychological services, and  barriers to the use of digital tools, coupled with the increasing proportion of people living alone and empty nests, insufficient social  support, and uneven medical resources, which further exacerbate health risks. New quality productivity empowers elderly care has  become the key to breaking the situation, and technologies such as smart wearable and smart medical care can improve medical  accessibility and management efficiency. AI robots alleviate loneliness, and digital technology enables precision health management. It  can integrate long-term care insurance and community smart health care resources to form a new one-stop pension model. Intelligent  monitoring and telemedicine, digital therapeutics, VR and other technologies can be applied to disease management, rehabilitation  training, and optimization of treatment plans. Smart elderly care and home care combine AI nutritionists, blockchain and other  technologies to provide personalized services. Data-driven can achieve precise health management, take into account privacy and  security, and build closed-loop services. Community smart health care provides digital social and emotional care through intelligent  environmental perception and AI health huts to optimize service quality. The expected effects include an increase in the accident recognition rate, a shortened response time, a decrease in the accident rate, and an improvement in self-care ability.