CarePredict, Inc

About

CarePredict is a venture-backed, AI digital health company that is on a mission to develop technologies to provide high-quality senior care. Our company was formed to solve the problem of providing care for the swelling ranks of seniors around the world at a time when the number of caregivers and monetary resources to support care are dwindling. We are passionate about senior care and helping seniors age independently with a safety net provided by technology.

CarePredict is designed to solve a specific challenge in senior care: family, friends and caregivers of an elderly person may not notice the early clues pointing to declines in health and hence do not intervene in time leading to hospital admissions for easily preventable issues. It is our premise that subtle changes in ordinary behavior patterns predict declines in health. For example, a senior entering into a depressive phase will start having restless sleep patterns, loss of hygiene and changes in eating patterns several days before the episode. We leverage technology to detect these subtle changes and predict health declines.

Our patented solution uses advanced remote sensing technologies, deep-machine learning, and user-friendly dashboards to continuously observe, learn, and trigger just-in-time care for seniors. Our sensing technologies permit the autonomous observation and collection of rich data sets about a user's activities of daily living (ADLs). These rich data sets are then parsed within our deep learning systems to learn the behavior patterns for each senior and identify prescient changes in those patterns. The final predictions and alerts are then served up as actionable wellness insights to caregivers on our automated digital dashboards on browsers and smart devices.

We are currently deployed in Senior Assisted Living and Memory Care Communities in the US.

Learn more at carepredict.com.

Keywords

artificial intelligence, predictive analytics, deep learning, elder care, health care, enterprise software, deep information technology, information technology, software, wearables, aging in place technologies, sensors, big data, machine learning, ai, agetech

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