Abstract:

Objective Aiming at the comprehensiveness and complexity of traditional fall risk assessment for the elderly，the diversity of assessment scenarios，and the risk that the assessment process may bring to the elderly，a virtual simulation teaching platform for fall risk assessment for the elderly was developed. Methods A multidisciplinary team developed and applied a multi-scenario experimental platform based on virtual reality（VR） technology. This platform incorporates structured evaluation processes and content，integrates structured case libraries，real-time data feedback，and self-editing functions，and enables dynamic case reconstruction and adaptive teaching strategies. Results The platform was composed of dual modules of teaching guidance and risk assessment，and provided two modes of training and assessment，covering four core domains：general assessment，physical function evaluation，professional evaluation and home environment assessment. It integrated 13 high-risk diseases across five systems，four sensory-perceptual disorders，nine common medications and two high-risk gait disorders，supporting dynamic case and process reconstruction. In addition， a data-driven learning behavior tracking system and dynamic evaluation mechanism were established，enabling multidimensional risk assessment and precise teaching adaptation. Conclusion Through interdisciplinary collaboration and technological innovation，the platform offers a flexible and safe pathway for nursing practice teaching.

Key words: Falls, Assessment, Gerontological nursing, Virtual simulation, Experimental teaching