智慧养老服务供需匹配研究：现状、问题与对策

Research on the Supply-Demand Matching of Smart Elderly Care Services: Current Situation, Problems and Countermeasures

摘要: 随着我国人口老龄化进程加快，智慧养老服务供需匹配已成为推动养老产业高质量发展的重要课题。依托各种新兴的技术，如物联网、大数据和人工智能等，智慧养老实现了身体和心理数据的24 h监测与因人而异的服务推荐，显著提升了服务精准性与效率。然而，当前仍面临数据隐私保护不足、服务标准化缺失、资源分配不均等挑战。为此，需完善相关的政策以及法律，优化各方资源与供给，加强跨学科人才培养，构建行为目标导向，推动服务标准化与规范化管理，实施差异化服务与个性化方案，并积极探索“互联网 + 养老”、“人工智能 + 养老”及“家庭–社区–机构”协同等创新模式。通过深化供需匹配研究，推动技术和服务创新，将更好地满足老年人多样化需求，为我国养老产业高质量发展提供有力支撑。

Abstract: With the acceleration of population aging in China, the supply-demand matching of smart elderly care services has become an important issue for promoting the high-quality development of the elderly care industry. Relying on technologies such as the Internet of Things, big data, and artificial intelligence, smart elderly care has realized real-time monitoring of health data and personalized service recommendations, significantly improving service accuracy and efficiency. However, current development still faces challenges including insufficient protection of data privacy, lack of service standardization, and uneven resource allocation. To address these issues, it is necessary to improve the policy and regulatory system, optimize resource allocation and supply capacity, strengthen interdisciplinary talent training, establish a behavior and goal-oriented approach, promote the standardized management of services, implement differentiated services and personalized solutions, and actively explore innovative models such as “Internet + elderly care”, “artificial intelligence + elderly care”, and the collaboration of “family-community-institution”. By deepening research on supply-demand matching and promoting technological and service innovation, we can better meet the diverse needs of the elderly and provide strong support for the high-quality development of China’s elderly care industry.