Abstract: Objective: To develop a Digital Comprehensive Geriatric Assessment (DCGA) system, and explore its application effect in elderly health assessments within nursing homes, providing scientific support for personalized health interventions. Methods: The DCGA system was developed based on the national standard "Geriatric Assessment Guidelines" and international Comprehensive Geriatric Assessment framework. Selecting elderly individuals residing in a nursing home in Hangzhou between July and October 2024 as the study subjects using convenience sampling method. The DCGA system was used to assess self care ability, cognitive function, and frailty state. The efficiency and consistency of system evaluation and manual evaluation were compared. Results: The DCGA system had four core functions: full-process information management (elder list module); dynamic updated elderly profiles (elder profile module); multi-dimensional health assessment (elder assessment module); intelligent reports and decision support (elder report module). The system successfully completed health assessments for 196 elderly individuals. The assessments revealed that 95.9% of the elderly individuals had varying degrees of functional dependency, 75.0% exhibited cognitive impairment, 57.6% were in a state of frailty or pre-frailty. The average time for using the DCGA system and manual evaluation was 12 minutes and 45 minutes, respectively. The two evaluation methods had a high degree of consistency in the determination of ability level classification results (Kappa coefficient of 0.86). Conclusion: The DCGA system enables a comprehensive assessment of elderly health. Its standardized assessment process and data visualization features provide effective support for health management in nursing homes, demonstrating strong potential for wider application.

Key words: digital assessment; health management; nursing home; geriatric care; health assessment system