United StatesHealthcare and life sciences2024 – ongoingCleveland Clinic
Bayesian Health AI for early sepsis detection
Cleveland Clinic reported a 10-fold decrease in false sepsis alerts in Fairview's pre-clinical comparison
Problem
Sepsis was difficult to identify early because symptoms varied across patients. Legacy detection tools generated false alerts that added work for clinicians.
Approach
Cleveland Clinic piloted Bayesian Health's software at 2 hospitals. The platform analyzed electronic medical records in real time and placed risk alerts in clinical workflows. By September 2025, the software was implemented at 13 hospitals.
Results
Takeaway
The Fairview results measured alert performance against legacy tools. They did not establish a reduction in mortality from this deployment.
Categories
- Size
- Large enterprise
- Industry
- Healthcare and life sciences
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Vendor solution
- Evidence
- Company's own claim
Sources
Source summaries
Cleveland Clinic described pilot results and an expanded hospital deployment. It reported fewer false alerts and more identified cases in Fairview's comparison with legacy tools.
Full details are in the original sources.