United StatesHealthcare and life sciences2024 – ongoingYale New Haven Health
eCART inpatient deterioration alerts
Yale New Haven Health reported a 13% relative decrease in mortality after introducing eCART alerts
Problem
Clinicians needed earlier warnings of inpatient deterioration. Fixed alert thresholds could flag stable patients whose normal readings fell outside standard ranges.
Approach
The health system introduced eCART across its hospitals in January 2024. It linked risk scores to nursing checks and rapid-response pathways, then gave units feedback on their responses.
Results
Takeaway
The rollout paired prediction with a defined clinical response. The reported mortality change does not establish how much benefit came from the model alone.
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
- Goal
- Quality and risk
- Evidence
- Company's own claim
Sources
Source summaries
Chief quality officer Deborah Rhodes described eCART's use in inpatient care. She reported a 13% relative mortality decrease and explained the response pathways around alerts.
The health system described its comparison of early-warning systems. It confirmed that eCART entered use in January 2024 with clinical pathways for elevated scores.
Full details are in the original sources.