The startup develops a patent-pending mobile health monitoring system that utilizes predictive analytics to detect real-time physiological changes in patients. This technology enables remote patient monitoring, enhancing preventive care and improving clinical outcomes for individuals managing chronic conditions at home.
Funding
$7.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Current methods for monitoring patient health often rely on intermittent vital sign measurements, potentially missing early warning signs of critical conditions, especially for patients managing chronic illnesses at home or transitioning from hospital to home care. This can lead to delayed interventions and increased risk of adverse events such as respiratory failure or sepsis.
Solution
ATLASense Biomed offers REPHAEL, a remote health monitoring platform designed to provide continuous, ICU-grade surveillance of patients both in and out of the hospital. The system utilizes a wearable, reusable physiological sensor called a PolyMonitor to collect real-time data on cardiovascular, respiratory, movement, temperature, and environmental metrics. This data is then processed through cloud-based sensor-fusion algorithms and an AI predictive layer to generate clinical parameters, identify trends, and proactively alert healthcare providers to developing conditions. The REPHAEL dashboard presents a comprehensive overview of the patient's clinical state, enabling timely interventions and improved clinical outcomes.
Target Audience
The primary target audience includes hospitals, healthcare systems, and home healthcare providers seeking to enhance patient safety, reduce hospital readmissions, and improve clinical outcomes through continuous, remote patient monitoring.
Features
- Continuous monitoring of vital signs including 1-lead ECG, respiratory rate, cuffless blood pressure, body temperature, and movement
- Chest-worn PolyMonitor device with proprietary sensors for ICU-grade accuracy
- Wireless data transmission to a secure, cloud-based platform
- AI-powered predictive analytics for early detection of respiratory failure, heart arrhythmias, and sepsis
- Real-time, personalized alerts delivered to healthcare providers via smartphone or integrated into the hospital EMR
- Detection of changes in standing and walking stability to prevent falls in elderly patients
- Capability to identify excessive movement patterns in hospitalized patients attempting to stand unassisted
- Rechargeable, multi-day operation with a drop-in charging cradle
- Reusable device design, facilitating cost-effective monitoring