CLEW Medical provides FDA-cleared, AI-based predictive analytics that accurately forecast patient deterioration up to eight hours in advance, enabling timely clinical interventions. This technology significantly reduces mortality rates, complications, and hospital readmissions by enhancing early detection in high-acuity care settings.
Funding
$20.5M 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.
ARFounders
Product
Problem
High-acuity hospital settings face challenges in timely detection of patient deterioration, leading to increased mortality rates, complications, and hospital readmissions. Clinician shortages and rising patient acuity exacerbate the difficulty of providing proactive interventions based on real-time patient data.
Solution
CLEW Medical offers an AI-based clinical surveillance platform that accurately predicts patient deterioration up to eight hours in advance, providing opportunities for early intervention. The system uses FDA-cleared, machine-learning models to analyze real-time patient physiology and provide predictive insights with a high degree of accuracy. By identifying at-risk patients before conventional monitoring systems, CLEW enables caregivers to proactively manage complex clinical scenarios, optimize resource allocation, and improve patient outcomes. The platform's predictive capabilities reduce unforeseen bottlenecks, decrease length of stay, and improve capacity management and access to care.
Target Audience
The primary target audience includes hospitals, healthcare systems, and intensive care units seeking to improve patient outcomes and optimize resource allocation in high-acuity care settings.
Features
- FDA-cleared, AI-based clinical predictive models for high-acuity care
- Predictive insights documented to be significantly more accurate than other systems
- Early warning system providing up to eight hours advance notice of patient deterioration
- Real-time patient physiology analysis for proactive clinical decision support
- Reduction in false alarms and alerts to minimize caregiver burden
- Integration with existing hospital systems and workflows