Adventist Health and Rideout cuts stroke transfer times 44% with Viz.ai AI-powered care coordination
Adventist Health and Rideout deployed Computer Vision & Medical Imaging for Patient Flow & Hospital Operations in Hospital & Health System. As reported by neuronewsinternational.com: 44% (202 min → 113 min) dido time reduction.
Source-reported figures (cited source: neuronewsinternational.com)
What Adventist Health and Rideout was trying to fix
Adventist Health and Rideout, a regional primary stroke centre, faced manual bottlenecks that delayed stroke care in regional settings. The complex transfer process for large vessel occlusion (LVO) stroke patients to a comprehensive stroke centre (CSC) resulted in average door-in-door-out (DIDO) times of 202 minutes, well above the US Joint Commission's 120-minute benchmark.
What Adventist Health and Rideout deployed
The facility implemented a comprehensive quality improvement initiative combining the Viz.ai platform, a formal CSC partnership, and standardised transfer protocols. Viz.ai provided real-time imaging analysis and automated care coordination, replacing manual workflows with automated LVO identification, team activation, and interhospital communication.
Results
Average DIDO times fell from 202 minutes to 113 minutes — a 44% reduction that beat the 120-minute national benchmark by nearly 6%. Time from CTA completion to LVO detection dropped by 84%, and care-team notification times fell from 45 minutes to just 7 minutes.
Key Takeaways
- Automating LVO detection and care-team notification can eliminate the largest manual delays in regional stroke transfer workflows.
- Combining AI tooling with standardised protocols and CSC partnerships produces compounding time savings beyond what technology alone achieves.
- Regional hospitals can meet or exceed national stroke benchmarks (AHA-GWTG, Joint Commission) through AI-assisted workflow redesign without requiring a major facility upgrade.
Evidence for Adventist Health and Rideout's Patient Flow & Hospital Operations deployment
- Reported outcome metrics
- 3 cited below
- Cited source
- neuronewsinternational.com
- Last updated
- Source link checked
Vendor
Details
- Industry
- Hospital & Health System
- AI Technology
- Computer Vision & Medical Imaging
- Company Size
- MidMarket
- Company
- Adventist Health and Rideout
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