Research on the Optimal Allocation of Community Elderly Care Service Resources Based on Big Data Technology

Abstract

With the accelerating aging process of China’s population, the demand for community elderly care services has shown diversified and personalized characteristics. However, problems such as insufficient total care service resources, uneven distribution, and prominent supply-demand contradictions have seriously affected service quality. Big data technology, with core advantages including data collection, analysis and mining, and accurate prediction, provides a new solution for the allocation of community elderly care service resources. This paper systematically studies the application value of big data technology in the allocation of community elderly care service resources from three aspects: resource allocation efficiency, service accuracy, and management intelligence. Combined with practical needs, it proposes optimal allocation strategies such as building a big data analysis platform and accurately grasping the elderly’s care needs, striving to provide operable path references for the construction of community elderly care service systems, promoting the early realization of the elderly care service goal of “adequate support and proper care for the elderly”, and boosting the high-quality development of China’s elderly care service industry.