AICARE

Our solution predicts the clinical outcome based on the individual physical activity differences during the Active phase (walking, standing, or sitting) vs. Resting phase (lying down. The machine learning algorithm and data analytics of their activities will determine healthy recovery at home vs. deteriorating condition requiring hospitalization or death. Based on 17,000 patient/day data at skilled nursing facility, we achieved ROC curve of 100% sensitivity, 94% specificity, and 100% negative predictive value... We have demonstrated technical feasibility and clinical utility of the technology, consisting of 4 key components for home health monitoring. This capability will address a frequent dilemma experienced by the family members who are taking care of patients as to whether the patient's condition is deteriorating or not and when to contact the physicians/hospital. Through accurate measurement of the patient's physical activity, our technology provides reliable and robust clinical..

Also known as: AiCare Corp.

Primary location: San Jose United States