Limbix (by BigHealth)
Evidence-based digital therapeutics for adolescent mental health and behavioral activation.
Predictive AI-powered remote monitoring for enterprise hospital-at-home and chronic care management.
Biofourmis Biovitals is a leading enterprise-grade AI platform designed for high-acuity remote patient monitoring and decentralized clinical trials. Its 2026 market positioning focuses on 'Hospital-at-Home' orchestration, utilizing its FDA-cleared Biovitals Analytics Engine. The architecture leverages a sophisticated sensor-agnostic data ingestion layer that processes continuous physiological data (ECG, SpO2, heart rate, respiration) via proprietary machine learning models. Unlike reactive monitoring tools, Biovitals identifies clinical decompensation up to 21 hours before a critical event by establishing a personalized physiological baseline for each patient. By 2026, the platform has evolved to include generative AI interfaces for clinician charting and automated patient engagement loops. It operates as a full-stack solution, combining wearable hardware integration, a cloud-native analytics backend, and a dedicated clinical dashboard. The system is designed to reduce hospital readmissions by 38% and lower the cost of care for complex chronic conditions like heart failure and COPD. Its API-first design allows seamless bidirectional data flow with major EHR systems like Epic and Cerner, ensuring it fits within existing clinical workflows.
FDA-cleared multivariate AI that analyzes complex interactions between physiological parameters to create a 'Single Health Index' score.
Evidence-based digital therapeutics for adolescent mental health and behavioral activation.
Predictive clinical and operational intelligence to fight death and waste in healthcare.
Predictive medical data and clinical insights for streamlined enterprise underwriting.
The professional medical network for clinicians, providing HIPAA-compliant AI and telehealth solutions.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A hardware-neutral layer capable of processing data from 50+ third-party medical devices and wearables.
AI-driven recommendations for medication dosage adjustments based on real-time physiological response data.
Native support for HL7 FHIR standards for seamless patient data synchronization with core medical records.
Rules-based and ML-based prioritization of patients based on acuity levels.
Computer vision and accelerometer-based AI to monitor mobility decline and fall risk in home settings.
LLM-powered module that synthesizes 24 hours of sensor data into a concise narrative for shift handoffs.
High readmission rates within 30 days of discharge due to fluid overload.
Registry Updated:2/7/2026
Medication adjusted remotely via telehealth.
Undetected adverse reactions during outpatient chemotherapy.
Low patient retention and intermittent data collection in drug trials.