Research on the Innovation of Operation and Management Mode of Smart Elderly Care Service Institutions

Menglu Zhao

doi:10.70088/575g9n51

Authors

Menglu Zhao Hainan Vocational University of Science and Technology, Haikou, China Author

DOI:

https://doi.org/10.70088/575g9n51

Keywords:

smart elderly care, operational management, information platform, service innovation, aging society

Abstract

With the rapid intensification of global population aging, smart elderly care has emerged as an indispensable and effective solution for modern society to address complex aging challenges. Smart elderly care service institutions, acting as comprehensive entities providing health management, daily care, and psychological support services for seniors, urgently require innovative operational models to enhance service quality and improve the overall living standards of the elderly. This study employs a rigorous mixed-method research approach, systematically selecting six smart elderly care institutions of varying scales in the Yangtze River Delta region as representative samples. Through extensive questionnaire surveys and in-depth qualitative interviews, we comprehensively analyzed current operational models and identified critical industry pain points. The empirical findings reveal widespread systemic issues, including severe service-demand mismatches, significant shortages of specialized technical talent, and unsustainably high operational costs in existing smart elderly care facilities. To address these challenges, the study proposes a comprehensive four-dimensional innovation strategy encompassing intelligent platform development, service process optimization, green sustainable operations, and robust talent system construction. By establishing an advanced Internet of Things (IoT)-based smart elderly care system architecture and implementing standardized service protocols, quantitative evaluations demonstrate that these innovative models can significantly reduce labor costs by 32% while simultaneously increasing overall service satisfaction by 27%. Ultimately, these findings provide highly practical references for standardizing the development of the smart elderly care industry and offer crucial micro-level theoretical support for implementing comprehensive national strategies aimed at addressing population aging.

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