LogicMark Launches AI-Powered Digital Twin Technology to Predict Falls Before They Happen

LogicMark's new Care Village Digital Twin uses AI and real-time data to create a virtual replica of monitored seniors, enabling predictive alerts for falls and health risks, shifting care from reactive to proactive.

Dallas Metrowire Staff
Healthcare
LogicMark Launches AI-Powered Digital Twin Technology to Predict Falls Before They Happen

LogicMark Inc. (OTC: LGMK), a provider of personal emergency response systems and health communication devices, has announced the launch of its AI-powered Care Village Digital Twin technology. This predictive health tool creates a real-time virtual twin of the person under monitoring by analyzing data from the company's medical alert devices and caregiver applications. The digital twin identifies patterns and predicts potential falls or safety risks before they occur, allowing caregivers to intervene proactively.

Traditional monitoring often focuses on reacting to falls or inactivity. LogicMark's digital twin flips that model by building a baseline wellness profile for each individual. When deviations from the baseline are detected—such as a drop in step count or missed medications—the AI assesses the risk level and alerts caregivers. For example, a 65-year-old woman who typically walks 10,000 steps daily but suddenly drops to 5,000 steps may be flagged as having a higher fall risk. Her family, using the Care Village app, receives a notification and can share the data with her doctor.

Another scenario involves a 70-year-old man living alone, monitored by a LogicMark device. Over 48 hours, his step count declines and he fails to take medications as scheduled. The digital twin detects these changes and alerts caregivers that a fall may be imminent, enabling them to take preventive action. These examples highlight how the technology uses personalized data to deliver care tailored to each user.

The digital twin is continuously updated with new data, making it dynamic and evolving. LogicMark's Caring Platform as a Service (CPaaS) collects data from devices, including steps, location, medication adherence, and fall history. The AI cross-references this data within the ecosystem to evaluate the probability of risks. Each user has a unique digital twin, and the system can compare across many users to refine predictions.

This proactive approach reduces false alarms and provides peace of mind. By running misalignment analysis and other predictive tools, the AI assesses risk severity based on behavioral patterns. As more older adults choose to live independently, LogicMark's technology aims to empower them to do so safely. Featured image from Shutterstock. This post contains sponsored content. For more information, see the original release on NewMediaWire.

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