LogicMark Introduces Predictive Activity Metrics to Transform Medical Alert Technology from Reactive to Proactive

LogicMark Inc. has introduced predictive Activity Metrics to its Freedom Alert Max personal emergency response device, marking a transformation in medical alert technology from reactive emergency response to proactive health crisis prevention. The feature continuously tracks users' daily steps and active time using AI analytics, providing caregivers with real-time insights into movement patterns to identify potential health issues before emergencies develop.

Activity Metrics leverages AI and pattern analysis technology to establish a personalized baseline of a user's daily activity, continuously monitoring for deviations that may signal health or behavioral changes. The system collects motion and activity data through built-in sensors and fall detection, with the algorithm learning normal routines and identifying deviations from expected patterns over time. When unusual declines or spikes in activity are detected, alerts are sent to caregivers through LogicMark's Care Village app, enabling earlier intervention before crises occur.

This technology addresses limitations of traditional medical alert systems that typically activate only after emergencies happen. According to CEO Chia-Lin Simmons, "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." The system can detect gradual decreases in movement over weeks, alerting caregivers to potential pain, weakness, or health issues before falls occur, or identify increased inactivity that may indicate fatigue, medication side effects, or early illness onset.

Activity Metrics builds upon LogicMark's recently launched Medication Reminders feature, with both capabilities contributing to establishing comprehensive baseline wellness profiles through the company's patent-pending Care Village Digital Twin technology. This virtual twin analyzes user data to predict future outcomes, enabling caregivers to take preventive steps rather than reacting after incidents. The features represent the first phase of LogicMark's Predictive Care Village, an interconnected network designed to anticipate care needs for older adults by transforming emergency response into continuous health intelligence.

The predictive capabilities reinforce LogicMark's commitment to empowering aging adults to live independently while reducing emergency events, hospitalizations, and caregiver burnout. By identifying early indicators of mobility decline or cognitive changes through activity pattern analysis, the technology helps maintain user independence while providing families and healthcare providers with insights needed for timely intervention. This evolution is particularly important for today's increasingly active older adult population who spend more time outside their homes, where traditional monitoring approaches may be less effective.