United StatesHealthcare and life sciences2018 – ongoingUCHealth
AI sepsis detection supporting nursing surveillance
UCHealth's nursing leader said AI identified sepsis 2 to 4 hours earlier
Problem
Sepsis required rapid recognition because delays could worsen patient outcomes. Nurses needed earlier warning of patients developing the condition.
Approach
UCHealth began using AI to detect sepsis in 2018. The system alerted nurses to patients at risk. In 2024, the Virtual Health Center's chief nursing officer said it helped identify sepsis earlier than detection without AI.
Results
Takeaway
The reported benefit concerned earlier recognition by a nursing service. The timing claim did not establish a measured reduction in mortality.
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
UCHealth republished reporting on its nurses' use of AI sepsis alerts since 2018. Nursing leader Amy Hassell attributed detection 2 to 4 hours earlier to the system.
Full details are in the original sources.