Viz.ai has highlighted the presentation of new clinical data at last month’s International Stroke Conference (ISC; 4–6 February, New Orleans, USA) demonstrating a 44% reduction in door-in-door-out (DIDO) times—the time required to evaluate, coordinate and transfer a patient to a comprehensive stroke centre (CSC)—for large vessel occlusion (LVO) stroke cases in regional care settings.
The study, led by Caezar Jara at Adventist Health and Rideout (Marysville, USA), evaluated the impact of the Viz.ai platform on DIDO times at a regional primary stroke centre within a hub-and-spoke network.
Following implementation of a comprehensive quality improvement initiative—including deployment of the Viz.ai platform, partnership with a CSC, and standardised transfer protocols—average DIDO times decreased from 202 minutes to 113 minutes, exceeding the US Joint Commission’s 120-minute national benchmark by nearly 6%.
According to Viz.ai, performance gains were driven by faster LVO identification and team activation, including an 84% reduction in time from computed tomography angiography (CTA) completion to detection, and care-team notification times dropping from 45 to seven minutes. These workflow changes occurred in the context of Viz.ai’s real-time imaging analysis and automated care coordination capabilities being implemented as part of the broader quality improvement effort, the company also notes in a recent press release.
“Our initiative was driven by the need to eliminate manual bottlenecks that delay stroke care in regional settings,” said Jara. “By integrating Viz.ai, we replaced a complex transfer process with an automated, real-time workflow, helping patients reach life-saving intervention sooner.”
“The data presented at ISC 2026 underscore the power of AI [artificial intelligence]-powered care coordination to expand equitable access to advanced stroke care across regional and community settings,” added Chelsea Summerour, associate director of product at Viz.ai. “Achieving nearly a 90-minute reduction in DIDO time relative to historical performance and aligning with American Heart Association Get With The Guidelines (AHA-GWTG) transfer standards represents a measurable clinical and system-level advancement, accelerating access to endovascular therapy for patients who might otherwise face preventable delays.”
At ISC, the company also highlighted continued innovation across its platform, including Viz Assist, which is designed to further support regional and community hospitals by integrating real-time patient context, automating care-team activation, standardising transfer workflows, and streamlining interhospital communication. This helps reduce variability in transfer decision-making and accelerates access to endovascular reperfusion therapy, Viz.ai claims.
