This research aims to explore how digital markers derived from real-time location data correlate with clinical assessments in advanced dementia.
Analyzed rest-activity rhythms using real-time location data
Evaluated changes over time in clinical assessments
Identified markers and phenotypes associated with clinical outcomes
Markers showed significant associations with clinical assessment changes
Evidence suggests digital markers can inform care strategies
Data indicates potential for personalized dementia management
Abstract
RTLS-derived rest-activity markers and phenotypes were associated with changes in clinical assessments over time and may support data-driven, evidence-based dementia care.