LogicMark Introduces Predictive Activity Metrics for Proactive Senior Health Monitoring

LogicMark Inc. has introduced predictive Activity Metrics to its Freedom Alert Max personal emergency response device, marking a shift from reactive emergency response to proactive health monitoring for older adults. The AI-driven feature continuously tracks users' daily steps and active time, providing caregivers with real-time insights into movement patterns through the company's Care Village app. According to CEO Chia-Lin Simmons, this transformation addresses a critical limitation of traditional medical alert systems that only activate during emergencies. "We're transforming medical alert technology by shifting from waiting for an emergency to happen to proactive health monitoring, recognizing changes in activity to prevent an emergency before it progresses into an emergent situation," Simmons said.

The technology establishes a personalized baseline of each user's daily activity using AI and pattern analysis, then monitors for deviations that may signal health or behavioral changes. The system analyzes data from built-in sensors and fall detection over time, learning normal routines and identifying unusual declines or spikes in activity. When deviations are detected, alerts are sent to caregivers, enabling earlier intervention before crises develop. Activity Metrics can detect gradual decreases in movement over several weeks, potentially indicating pain, weakness, or health issues before falls occur. It also identifies increased inactivity that may signal fatigue, medication side effects, or early illness onset. The system can flag nighttime wandering or shifts in daily patterns that may indicate emerging cognitive decline.

This new feature builds on LogicMark's recently launched Medication Reminders capability within the same device. Both features contribute to establishing comprehensive baseline wellness profiles through the company's patent-pending Care Village Digital Twin technology, which creates virtual representations of users to predict future outcomes. More information about LogicMark's approach is available at https://www.logicmark.com. Activity Metrics and Medication Reminders represent the first phase of LogicMark's Predictive Care Village, an interconnected network designed to anticipate care needs for older adults. The company aims to transform emergency response into continuous health intelligence through advanced wearable safety devices that enable two-way calling and fall detection monitoring, supported by AI and machine learning platforms.

According to the company, this predictive approach helps reduce emergency events, hospitalizations, and caregiver burnout while maintaining user independence. The technology represents a significant step toward preventive care for today's increasingly active older adult population who spend more time outside their homes. By identifying subtle changes in daily activity patterns that might otherwise go unnoticed, the system provides caregivers with actionable data that can lead to earlier medical interventions. This shift from emergency response to health intelligence addresses the growing need for solutions that support aging in place while reducing healthcare system burdens. The integration of predictive analytics into personal safety devices reflects broader industry trends toward connected health technologies that empower both users and their support networks with meaningful, real-time information.