It is known that changes in activities of daily life precede declining health. CarePredict uses a sophisticated smart wearable, Tempo, AI, machine learning, and advanced kinematics algorithms to learn an individual's usual daily activity patterns.
FREMONT, CA: The use of CarePredict's AI-powered digital health platform for senior care has significantly reduced hospitalizations and falls. As a result, improved resident retention in senior living facilities, identified by a published peer-reviewed study in the Journal of Medical Internet Research. Anonymized data from 490 residents was collected from six similar facilities over the course of 24-months, three of which leveraged CarePredict. The facilities using CarePredict noted 40 percent lesser hospitalizations, 69 percent lower fall rates, 67 percent longer length of stay, and 37 percent enhanced staff response rate than facilities that did not leverage CarePredict.
"Communities using CarePredict have continuous visibility into the evolving health of a senior and are able to identify older adults that are at an increased risk for a health decline," said Dr Gerald Wilmink, Chief Business Officer at CarePredict and lead author of the study. "In the study, this ability to intervene much earlier and protect residents from conditions that left untreated could result in hospitalization, was a significant contributing factor to improved outcomes."
It is known that changes in activities of daily life precede declining health. CarePredict uses a sophisticated smart wearable, Tempo, AI, machine learning, and advanced kinematics algorithms to learn an individual's usual daily activity patterns. In the case of a deviation from an individual's regular, the system informs caregivers on a wide range of potential concerns, which includes the probability of an increased risk for falls. The ability to detect the early signs of problems enables caregivers to start assessments, provide preventive care, and ensure residents' wellbeing.
"The rapidly increasing senior population along with declining caregiver numbers is a global problem and one that cannot be solved using scarce human caregivers alone," said Satish Movva, CEO and founder of CarePredict. "This study is an important first step in understanding how technology-enabled care can augment caregivers and help drive efficiencies." The company's mission is to help caregivers of seniors to take timely action by detecting precursors to health declines. Based on the science that changes in daily activities and behavior patterns precede health declines, CarePredict's award-winning smart wearable, Tempo, autonomously understands these patterns and alerts professional and family caregivers on changes that warrant attention.