1. Identify the primary risk factors for disability in older adults through multi-dimensional risk factor screening. 2. Develop a risk stratification model for disability in older adults by integrating outcome indicators and temporal characteristics, and construct an intelligent early warning model to enable automated assessment and monitoring of disability risk. 3. Establish key digital technologies for early warning and prevention of disability risk in older adults, and develop a whole-process digital intervention platform incorporating a decision support system for disability prevention management. 4. Create a digitally empowered hospital-community-household collaborative system for precise assessment and intervention of disability risk in older adults, achieving data-driven whole-process active disability management. The system will be demonstrated and evaluated in communities with diverse characteristics across urban, county, and rural settings.
Community-dwelling permanent residents aged ≥65 years;
Able to operate a smartphone independently or with assistance from a primary caregiver;
Clear consciousness with basic comprehension and communication abilities;
Voluntarily agree to participate in the study and provide informed consent.
Those who are unable to perform basic activities of daily living independently, or who have significant cognitive or communication impairments.