Adventist Health Rideout cuts stroke transfer time by 46% with Viz.ai CT scan AI
Adventist Health Rideout deployed Computer Vision & Medical Imaging for Medical Imaging & Radiology in Hospital & Health System. As reported by health.ucdavis.edu: ~46% (202 min → 109 min) door-in-door-out time reduction.
Source-reported figures (cited source: health.ucdavis.edu)
What Adventist Health Rideout was trying to fix
Stroke patients at Adventist Health Rideout (AHRO) in Marysville, California faced dangerously long transfer times to specialty care. The average door-in-door-out time was 202 minutes in 2023, meaning patients waited over three hours before being transferred to UC Davis Health for specialized large vessel occlusion treatment. Manual coordination processes and the potential need for duplicate imaging further delayed time-sensitive care.
What Adventist Health Rideout deployed
AHRO launched Viz.ai in May 2024, an AI platform that analyzes CT scans uploaded to its secure, HIPAA-compliant platform and sends mobile alerts to vascular neurologists at both AHRO and UC Davis Health's Comprehensive Stroke Center within minutes of a scan. When the AI identifies a large vessel occlusion, the multi-site notification system enables rapid collaborative transfer decisions without requiring additional scans at the receiving facility.
Results
Door-in-door-out transfer time dropped from an average of 202 minutes in 2023 to 109 minutes — a reduction of nearly 50%. AHRO achieved its previously elusive goal of sub-120-minute transfers. The technology has been used for 10 large vessel occlusion stroke patients since launch in May 2024, with the broader stroke program handling 517 total ED stroke alerts in 2023.
Key Takeaways
- AI-powered CT scan analysis can cut multi-hospital care coordination time nearly in half by simultaneously alerting specialists across facilities within minutes of imaging.
- Removing manual handoffs and eliminating the need for duplicate scans at the receiving hospital is a key operational lever for time-sensitive transfer pathways.
- Cross-facility AI integration between community hospitals and comprehensive stroke centers improves equitable access to specialist care across a region.
Evidence for Adventist Health Rideout's Medical Imaging & Radiology deployment
- Reported outcome metrics
- 3 cited below
- Cited source
- health.ucdavis.edu
- Last updated
- Source link checked
Explore Related
Vendor
Details
- Industry
- Hospital & Health System
- Use Case
- Medical Imaging & Radiology
- AI Technology
- Computer Vision & Medical Imaging
- Company Size
- MidMarket
- Company
- Adventist Health Rideout
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