The increasingly severe aging problem in economically developed regions has created a pressing need for effective smart elderly care policies.This study takes Fujian Province as a case to systematically explore the characteristics and development trends of regional smart elderly care policies based on data-driven analysis, aiming to provide a rational and replicable framework for policy optimization in other regions.Using 59 policy documents from Fujian Province and its prefecture-level cities as the data source, this research employs quantitative methods combined with policy text mining techniques to examine the temporal distribution, content features, and keyword themes of these policies.The analysis reveals three core focus areas: the development and application of intelligent elderly care technologies, the construction and improvement of integrated healthcare and elderly care systems, and the enhancement of public elderly care services.This data-driven approach not only identifies key policy priorities and practical directions in Fujian Province but also offers a scientific tool for policy formulation and evaluation in similar contexts.While the study provides a systematic analysis framework based on empirical data, its findings are limited to Fujian Province and require further validation for broader applicability.Future research could extend to other regions and incorporate evaluations of policy implementation outcomes to refine the data-driven policy analysis system.
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Wang et al. (2025) studied this question.
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