Digital Transformation Strategies for CommunityBased Elderly Care: A System Dynamics Modeling Approach

Abstract

 The demographic transition toward an aging society  presents unprecedented challenges for traditional community-based  elderly care systems, necessitating a paradigm shift toward digital  transformation. This paper explores the strategic integration of  digital technologies—ranging from Internet of Things sensors to  telehealth platforms—into community care frameworks. Utilizing a  System Dynamics modeling approach, we analyze the complex, non linear feedback loops inherent in care delivery, technology  adoption, and resource allocation. The study constructs a simulation  model to evaluate the long-term impact of various digital strategies  on  service quality, operational efficiency, and financial  sustainability. Our findings reveal that while technology  implementation offers significant potential for alleviating labor  shortages, its success is heavily contingent upon concurrent  investments in digital literacy training for the elderly and the  interoperability of information systems. The simulation results  suggest that a balanced allocation of resources between hardware  infrastructure and user education yields the highest sustained improvement in care capacity. This research contributes to the  domain of social systems engineering by providing a quantitative  decision-support tool for policymakers and care administrators,  highlighting the critical importance of a holistic approach to  digitalization in the silver economy.