Data Science & Analytics

The Data Science & Analytics team at BioIntelliSense focuses on leveraging large datasets collected from the BioSticker™ wearable device to derive actionable insights and predictive models. By analyzing vital signs and symptoms data, the team aims to improve patient health outcomes and enhance the Remote Patient Monitoring Hospital at Home (RPM-H@H) experience. This involves developing advanced analytics, machine learning models, and data visualizations to support clinical decision-making and operational efficiency.