HOPE-CAT is a machine-learning-based risk-assessment algorithm that identifies factors that may indicate the development of cardiovascular conditions that lead to maternal morbidity and mortality. By monitoring a pregnant patient's aggregated health data (e.g., medical records, wearables and device data, and self-reported data) in real time, HOPE-CAT stratifies a patient's risk and alerts providers to changes in a patient's risk status.

Biofourmis Care is a holistic, customizable, end-to-end solution that delivers virtual care to patients with acute, post-acute, and chronic medical conditions in the comfort of their own homes. Medical-grade wearables allow for continuous, real-time monitoring and patient-specific notifications enable caregivers to deliver exceptional care to patients anywhere. Our 24/7 virtual clinical care team, staffed by health navigators, nurses, and physicians can monitor and manage patients with acute or chronic medical conditions. Biofourmis Care is powered by the FDA-cleared Biovitals Analytics Engine and Biovitals Index which utilizes artificial intelligence and machine learning to interpret and analyze physiological signals, delivering personalized patient insight. Additional Biofourmis Care features and services include:

Biofourmis brings the right care to every person, no matter where they are. The company’s AI-driven solutions provide people everywhere with connected access to hospital-level services, virtual provider networks for remote care, and life-changing clinical trials—all without leaving their homes. Trusted by leading health systems, life science companies and patients alike, Biofourmis’ connected platform improves patient outcomes, accelerates drug development, and closes critical gaps in care—ultimately making science smarter, healthcare simpler, and patients healthier.

Current efforts to reduce cardiovascular-based maternal morbidity and mortality are reactive. Often occurring in a disjointed system, patient encounters and, consequently, data collection occur every few weeks or months over the course of a pregnancy, and even less frequently postpartum.

HOPE-CAT constantly monitors a patient's aggregated health data (e.g., medical records, wearable and device data, and self-reported data) in real time, stratifies a patient's risk, and alerts providers to changes in a patient's risk status.

The machine-learning-based technology identifies signs of risk sooner than would be discovered in a clinical setting, prompting proactive intervention and reducing outcomes of maternal morbidity and mortality.

HOPE-CAT is a proactive tool that identifies signs of risk before a patient experiences complications or a medical emergency, prompting intervention and fostering proactive care, unlike other diagnostic and treatment models.

Biofourmis Care is a remote patient management solution that can be deployed and scaled across health systems as an enabler or as a provider of care. 

One platform - The Biofourmis platform can support patients across the care continuum, from acute and post-acute conditions to complex chronic diseases.

End-to-End Solution - From patient onboarding, training, delivery logistics, clinical monitoring, billing, and technical support, Biofourmis Care offers every component needed to delivers remote patient care.

FDA-Cleared Analytics Engine - Machine learning model that creates a personalized baseline for individual patients based on continuous physiological signals and uses multiparametric data to derive clinical insights. Shown to significantly reduce false positive notifications in both acute and post-acute care settings.