Biofourmis
AI-powered remote patient monitoring platform that predicts deterioration and automates care interventions.
What it does
Biofourmis is an AI-native remote patient monitoring (RPM) and digital therapeutics platform that continuously analyzes wearable sensor data - heart rate, heart rate variability, respiratory rate, activity - from patients at home or in the hospital, using AI to detect early signs of clinical deterioration before a patient becomes acutely ill. Its platform combines continuous biosignal collection with AI models trained on specific disease populations (heart failure, post-surgical, oncology) to generate individualized deterioration risk scores, automated alerts to care teams, and virtual care protocols. Biofourmis enables hospital-at-home programs and post-discharge monitoring - extending the reach of clinical teams to manage high-risk patients safely outside the hospital.
Why AI-NATIVE
Biofourmis is AI-native - continuous wearable biosignal analysis with disease-specific AI deterioration prediction models that trigger automated care interventions is the core product architecture.
Best for
Large health systems and hospital networks use Biofourmis for hospital-at-home and post-discharge monitoring programs - AI early deterioration detection reducing readmissions and enabling earlier patient discharge with continuous remote monitoring safety nets.
Limitations
Biofourmis provides the AI monitoring platform but health systems must design the clinical protocols, care team workflows, and escalation procedures — the technology is most effective when embedded in a well-designed virtual care program.
Remote monitoring depends on patients consistently wearing sensors and charging devices — patient adherence varies by population, and programs need patient engagement support alongside the technology platform.
Integrating Biofourmis alerts and data into Epic and Cerner workflows requires technical interface work — seamless clinical workflow integration is critical for care team adoption and typically requires dedicated implementation effort.
Alternatives by segment
| If you need… | Consider instead |
|---|---|
| Remote monitoring for chronic disease | Teladoc Health |
| AI clinical documentation and monitoring | Microsoft Dragon Copilot |
Biofourmis enterprise contracts based on number of monitored patients and program scope. Not published. Health system deployments typically structured as per-patient-day fees or annual program contracts.
