High incidence of falls: Falls accounted for almost half of all 44% patient safety incidents.

Numerous risk factors: Falls are linked to internal factors (illness, medications) and external factors (physical environments).

Inadequate fall prevention: Traditional methods lack real-time risk reassessment and struggle with the effectiveness of fall detection mats and body restraints.

Ongoing fall risk assessment: Real-time, continuous monitoring of patients' fall risk.

Personalized fall prevention: Tailored education, monitoring of risk behaviors, and integrated IoT technology.

AI-powered reassessment: Reevaluate fall risk, adapt interventions, and enhance patient-specific fall prevention.

Reduced falls and injuries: Proactive prevention minimizes fall occurrences and related injuries.

Improved patient engagement: Automated education and real-time monitoring engage patients and caregivers.

Enhanced safety and care: IoT integration, including a help request button and fall risk detection mats, elevates patient care quality.