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Senior Living Leaders Announce Strategic Alliance of Next Generation Senior Care Technology

HOUSTON–LifeWell Senior Living and CarePredict announced today they are developing and deploying the first large-scale commercial application of its kind – CarePredict’s Tempo™, a wearable device that uses sophisticated machine-learning algorithms and smart location technology to measure activity and behavioral patterns of seniors, enabling care providers to intervene prior to acute episodes.

“How can I really know how my aging parents are doing, individually?” Satish Movva, Founder and CEO of CarePredict asked himself. “I realized all senior communities could use better insight into the daily activity of our parents and seniors. Typical remote monitoring solutions were insufficient, because they weren’t personalized; however, the Tempo provides the answers caregivers need.”

Tempo measures changes in daily activities such as sleeping, toileting, movement, hydration, eating, and socialization patterns to help support a better quality of life for residents. Additionally, both residents and caregivers wear Tempo, enabling users to precisely locate anyone inside the building, as well as measure staff productivity.

Greg Zobel, Chief Growth Officer for Care Predict, noted that the Tempo technology will give care providers and family members insight into a wealth of knowledge. “For example, research has shown that an increase in sedentary behavior combined with a decrease in stride length, is the single largest predictor of falls,” said Zobel. “Tempo provides this type of insight so caregivers can act to mitigate a fall before it happens.”

“Until recently, our industry has only been able to react to declines in residents’ health and activities,” added Charles Turner, President of LifeWell Senior Living. “By partnering with CarePredict, together we can utilize advanced technology that better improves the quality of life for seniors with a better understanding of individual trends and the capability to intervene with care prior to an acute episode.”