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Adventist Health Rideout cuts stroke transfer time by 46% with Viz.ai CT scan AI

“Adventist Health Rideout cuts stroke transfer time by 46% with Viz.ai CT scan AI” documents a Medical Imaging & Radiology deployment in Hospital & Health System at Adventist Health Rideout. health.ucdavis.edu reports door-in-door-out time reduction: ~46% (202 min → 109 min); this directory has not independently verified that result.

Maintained by Peter Korpak, Founder & Chief AnalystHow evidence is checked

Evidence at a glance

Evidence status:
Automated evidence gate passed
Deployment timeframe:
Not reported by source
Reported outcome metrics:
3 cited below
Directory entry published:
Source link checked:

The source-link check confirms reachability, not independent re-verification of every claim.

~46% (202 min → 109 min)Door-in-Door-Out Time Reduction
109 minutes averagePost-Implementation Transfer Time
~6 minutes (Viz.ai national average)Scan-to-Provider Alert Time

Source-reported figures — cited source: health.ucdavis.edu

Adventist Health Rideout
Metric Before After Impact
Door-in-Door-Out Transfer Time 202 min 109 min 46% reduction
Scan-to-Provider Alert Time — 6 min Achieved Viz.ai benchmark performance

The Challenge

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.

The Solution

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.

Explore Related

More from Adventist Health Rideout →Viz.ai case studies →All Computer Vision & Medical Imaging implementations →
Tags:
Hospital & Health SystemMedical Imaging & RadiologyComputer Vision & Medical ImagingMidMarket

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Details

Company Size
MidMarket
Evidence status
Automated evidence gate passed
Deployment timeframe
Not reported by source
Directory entry published
Source link checked

Cited source

health.ucdavis.edu

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