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Biofourmis

AI-powered remote patient monitoring platform that predicts deterioration and automates care interventions.

Listed Needs re-verification
Care Coordination $$$ Enterprise Healthcare

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.

Strengths

  • 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.
  • 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.

Watch-outs

  • Clinical program design required: 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.
  • Wearable adherence is an ongoing challenge: 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.
  • EHR integration is complex: 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.

Pricing

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.