AI-enabled multimodal monitoring for enhanced safety and functional recovery in elderly and post-stroke care: A mixed-methods study
The AI-enabled multimodal monitoring system demonstrates significant clinical, economic, and quality-of-life benefits for elderly individuals and stroke survivors. The integrated approach outperforms single-modality systems and usual care across multiple outcome domains. Implementation success depends on leadership engagement, technical infrastructure readiness, comprehensive staff training, and ongoing user involvement in system configuration.
Authors
- Yanhua Zhao (ORCID: https://orcid.org/0000-0003-4193-9973)
- Haytham F. Isleem (ORCID: https://orcid.org/0000-0002-4826-7420)
- Aixu Duan
- Wenxing Xue
- H. Zuo
Institutions
- University of York (GB)
- Shanxi Datong University (CN)
Publication Details
- Journal
- Digital Health
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1177/20552076251384834
- Citations
- 5
- Primary Topic
- Stroke Rehabilitation and Recovery
- Type
- article
- Field-Weighted Citation Impact
- 5.13