A New AI-Enabled Model for Tiered Management of Care Resources for Elderly People with Disabilities in Communities
DOI:
https://doi.org/10.71204/mb7qv676Keywords:
Elderly People with Disabilities, AI-Enabled, VR Training, Tiered Management, Smart Care for the ElderlyAbstract
As China’s population ages at an accelerating pace and the number of elderly people with disabilities continues to rise, the traditional family-based care model faces severe challenges, making community-based home care an increasingly important option. However, current community care services suffer from issues such as uneven resource allocation, insufficient service precision and a shortage of professional staff, with a particular lack of intelligent assessment and tiered management mechanisms tailored to elderly people with disabilities .This study, using three communities in Wenzhou, Zhejiang Province as pilot sites, explores the construction of a new integrated community care model—‘assessment-classification-intervention-feedback’—linked by AI-enabled technology. The research comprehensively employs questionnaire surveys, field research, VR virtual simulation training, artificial intelligence predictive models and principal component analysis to establish a four-level coding system based on the Barthel Index, thereby achieving intelligent identification of functional impairment levels among the elderly and differentiated health management.The VR system was utilised for the standardised training of medical student volunteers, thereby enhancing the quality of data collection and service delivery capabilities; the AI predictive models can effectively identify key risk factors for disability; when combined with a digital health management platform, they enable dynamic resource allocation and a closed-loop service system.
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Copyright (c) 2026 Yueyang Jiang, Han Chen, Wanting Lin, Luyao Pan, Xiangyu Chen (Author)
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