Overview
In the evidence presented, Sentinel's fall-risk assessment technology showed strong specificity and sensitivity, helping qualified care teams identify higher-risk patients and support preventive intervention workflows.
This white paper presents the clinical evidence behind Sentinel's automated fall-risk assessment technology, reporting the ability to identify higher-risk patients with strong sensitivity and specificity in the studies described.
The technology analyzes multiple gait parameters together, creating a fall-risk profile that surfaces nuances often missed by traditional screening tools—offered as a promising complement to established screening.
Case examples illustrate how automated risk assessment gave care teams fall-risk visibility that supported earlier intervention before mobility decline progressed. Clinical decisions remain human-owned.
Implementation guidance helps organizations integrate automated assessment into existing clinical workflows.
Key Takeaways
- Strong sensitivity and specificity for fall-risk identification in the evidence presented
- Multi-parameter analysis for comprehensive fall-risk profiling
- Objective information supports earlier intervention before mobility decline progresses
- Integration guidance for clinical workflows