Viz.ai Study Shows 44% Stroke Transfer Time Reduction

Event summary

  • A Viz.ai study presented at the International Stroke Conference (ISC) 2026 demonstrated a 44% reduction in door-in-door-out (DIDO) time for stroke patients.
  • The study, led by Caezar G. Jara at Adventist Health + Rideout, evaluated the impact of Viz.ai’s platform, resulting in a DIDO time decrease from 202 minutes to 113 minutes.
  • The reduction was achieved through faster LVO identification, team activation, and streamlined transfer protocols.
  • Viz.ai’s Viz Assist platform, designed for regional and community hospitals, further supports these coordinated workflows.

The big picture

Viz.ai's success underscores the growing recognition of AI's potential to improve patient outcomes and operational efficiency in acute care settings. The 44% reduction in stroke transfer times represents a significant advancement in addressing a critical bottleneck in stroke care pathways, particularly in resource-constrained regional hospitals. This trend is likely to accelerate as healthcare providers seek to leverage technology to meet quality benchmarks and improve patient access to specialized care.

What we're watching

Adoption Rate
The sustainability of these DIDO time reductions will depend on the platform’s adoption rate across a broader range of hospitals and care networks, beyond the pilot program at Adventist Health.
Reimbursement
Continued CMS reimbursement for AI-powered care coordination will be crucial for Viz.ai’s growth and market penetration, especially as competitors enter the space.
Integration
The effectiveness of Viz.ai’s platform hinges on its ability to seamlessly integrate with existing hospital systems and workflows, which could present challenges in larger, more complex organizations.