LogicMark Introduces Predictive Activity Metrics to Its Freedom Alert Max Device, Shifting from Reactive to Proactive Senior Care

LogicMark's new Activity Metrics feature uses AI to track daily movements and alert caregivers to deviations, aiming to prevent health crises before they occur.

Dallas Metrowire Staff
Healthcare
LogicMark Introduces Predictive Activity Metrics to Its Freedom Alert Max Device, Shifting from Reactive to Proactive Senior Care

LogicMark Inc. (NASDAQ: LGMK) has announced the rollout of predictive Activity Metrics within its Freedom Alert Max personal emergency response device, marking a shift from reactive emergency response to proactive health crisis prevention. The feature continuously tracks users' daily steps and active time, using AI analytics to establish a personalized baseline and detect deviations that may signal health or behavioral changes. According to a company press release, this technology transforms medical alert systems by enabling earlier intervention, reducing the risk of falls, hospitalizations, and caregiver burnout.

Activity Metrics builds on LogicMark's recently launched Medication Reminders feature, which allows caregivers to send reminders directly to the device. Both are part of the first phase of the company's Predictive Care Village, an interconnected network of devices and data designed to anticipate care needs. The Freedom Alert Max collects motion data through built-in sensors and fall detection, and the AI algorithm learns normal routines over time. If unusual declines or spikes in activity are detected, alerts are sent to caregivers via the Care Village app.

“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,” said Chia-Lin Simmons, CEO of LogicMark, in the press release. The company emphasizes that this evolution is particularly important for older adults who are increasingly active outside the home, as traditional systems only activate after an incident occurs.

The predictive capabilities extend to identifying early indicators of mobility decline or fatigue. For example, a user whose daily movement slowly decreases over weeks can be flagged for potential pain or weakness before a fall occurs. Similarly, sudden nighttime wandering or shifts in activity patterns may indicate emerging cognitive decline. These insights are also used to build a comprehensive wellness profile via LogicMark's patent-pending Care Village Digital Twin technology, which creates a virtual mirror image of the user to predict future outcomes.

Activity Metrics and Medication Reminders represent LogicMark's commitment to proactive senior safety, enabling families and healthcare providers to intervene before a crisis. The company continues to pioneer this evolution with its wearable devices that offer two-way calling, fall detection, and AI-driven platforms. For more information about LogicMark's personal emergency response systems, visit LogicMark's website.

Featured image from Shutterstock. This content was originally published on Benzinga. Read further disclosures here.

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