Valley Baptist reduces stroke length of stay with Viz.ai automated LVO detection
Valley Baptist Medical Center deployed Computer Vision & Medical Imaging for Medical Imaging & Radiology in Hospital & Health System. As reported by Viz.ai: Reduced Length of Stay impact.
Source-reported figures (cited source: Viz.ai)
What Valley Baptist Medical Center was trying to fix
Valley Baptist Medical Center needed to reduce time-to-treatment for stroke patients, where every minute of delay increases the risk of permanent brain damage. Manual CT scan review and specialist notification processes created critical delays in the stroke care pathway.
What Valley Baptist Medical Center deployed
Valley Baptist deployed Viz.ai's AI-powered stroke detection platform, which automatically analyzes CT angiography images for large vessel occlusions and instantly notifies the on-call neurointerventionalist with mobile alerts and imaging.
Results
Viz.ai reduced stroke patient length of stay at Valley Baptist by streamlining the detection-to-treatment pathway. The automated notification system eliminated delays in specialist engagement, enabling faster intervention for time-critical stroke cases.
Evidence for Valley Baptist Medical Center's Medical Imaging & Radiology deployment
- Reported outcome metrics
- 2 cited below
- Cited source
- Viz.ai
- Last updated
- Source link checked
Vendor
Details
- Industry
- Hospital & Health System
- Use Case
- Medical Imaging & Radiology
- AI Technology
- Computer Vision & Medical Imaging
- Company Size
- MidMarket
Have a similar implementation?
Share your customer's AI results and link it to your vendor profile.
Submit a case study →