South KoreaHealthcare and life sciences2026 – ongoingGangdong Sacred Heart Hospital, Sihwa Hospital and Incheon Naeun Hospital
AI cardiac-arrest warnings in hospitals without rapid response teams
VUNO reported 21% fewer cardiac arrests after 3 hospitals introduced DeepCARS
Problem
The hospitals lacked dedicated rapid response teams. Staffing and cost constrained their ability to establish these services.
Approach
The hospitals introduced VUNO Med-DeepCARS to predict cardiac-arrest risk from vital-sign histories. Alerts prompted clinicians to reassess patients and consider treatment. A before-and-after study compared outcomes among approximately 160,000 adult ward patients.
Results
Takeaway
The comparison associated deployment with better outcomes, but did not establish that AI alone caused the changes.
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
- Vendor case study
Sources
Source summaries
Medical Times relayed VUNO's announcement of a study at the named hospitals. It reported lower cardiac-arrest incidence and mortality after deployment, using a before-and-after comparison.
Full details are in the original sources.