Viz.ai Unveils Viz Assist: AI Agent for Faster Treatment

Autonomous AI brokers that mix imaging and EHR knowledge to establish vital sufferers, floor real-time insights, and act as a scientific co-pilot for care groups

Viz.ai, the chief in AI-powered illness detection and clever care coordination, right this moment introduced the launch of Viz Assist, a collection of autonomous AI brokers that considerably improve how care groups establish, prioritize, and act on vital affected person knowledge.¹ Viz Assist marks a serious step ahead in Viz.ai’s mission to make use of expertise to scale back time to therapy and enhance affected person outcomes.

Viz Assist incorporates inputs from ambient listening and the digital well being report (EHR) to create a generative AI abstract of the affected person, combining this with Viz.ai’s FDA-cleared imaging AI algorithms to supply a close to full image of the affected person. Acting as digital crew members, Viz Assist AI brokers can then ship the best scientific insights on the proper time, enabling quicker interventions, extra coordinated care, and higher outcomes.² With Viz Assist, hospitals and well being programs can transfer past handbook mining of EHR knowledge, static instruments and reactive alerts, and as an alternative profit from clever brokers that continually scan for scientific indicators, scale back cognitive burden,¹ and assist clinicians concentrate on what issues most: the affected person. Importantly, Viz Assist goals to streamline scientific documentation and, over time, increase to delivering coding suggestions powered by multimodal knowledge—integrating imaging, ambient listening, and EHR insights. With Viz.ai, extra sufferers get handled, docs have a decrease administrative burden and directors profit from extra full documentation² resulting in applicable reimbursement and operational effectivity for well being programs.

“Viz Assist brings us nearer to the way forward for care we’ve all the time envisioned—one the place AI works alongside clinicians, not rather than them,” mentioned Andrew M. Ibrahim, MD, MSc, Chief Clinical Officer at Viz.ai. “These brokers don’t simply detect issues, additionally they anticipate wants, curate the important particulars, and assist care groups act quicker and with larger confidence.³ It’s like having a trusted scientific teammate who by no means sleeps. I’m assured this may assist convey pleasure again to drugs.”

Viz Assist permits care groups to behave quicker by figuring out high-risk sufferers, pulling key particulars from the EHR, surfacing related imaging, and delivering prioritized insights to the suitable clinicians. Designed to operate throughout a number of hospitals and EHR programs, the brokers present real-time updates to scientific crew members wherever they’re. This consolidated view helps scale back the necessity to manually collect info from disparate platforms, easing cognitive burden and supporting quicker, extra assured decision-making. The brokers function within the background and are designed to enrich, not change, scientific experience—providing trusted, guideline-based suggestions.

“Viz Assist represents a outstanding step ahead in healthcare,” mentioned Peter Kan, MD, chair of the Department of Neurosurgery on the University of Texas Medical Branch. “This platform does excess of merely ship alerts—it really works seamlessly within the background to establish vital sufferers, automates scientific documentation which saves us time, delivers essentially the most related info in actual time, and coordinates motion throughout your complete care crew. In some ways, it has the potential to operate like an added skilled on workers — one which’s accessible 24/7.”

To study extra about Viz Assist, watch the demo video and please go to viz.ai/viz-assist.

¹ Baker C, Taussky P, et al. How an Artificial Intelligence Application Is Changing Communication in Acute Stroke Intervention. Journal of Neurosurgery. 2023;139(3):912–920. doi:10.3171/2022.11.JNS221259

² Hassan AE, Ringheanu VM, Preston L, et al. Artificial Intelligence–Parallel Stroke Workflow Tool Improves Reperfusion Rates and Door-In to Puncture Interval. Stroke: Vascular and Interventional Neurology. 2022;2:e000224. doi:10.1161/SVIN.121.000224

³ Elijovich L, et al. Automated Emergent Large Vessel Occlusion Detection by Artificial Intelligence Improves Stroke Workflow in a Hub-and-Spoke Stroke System of Care. J NeuroInterv Surg. 2021;13(10):911-916. doi:10.1136/neurintsurg-2021-017714

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