Operational Utility

• Automated Pre-Charting: Before the patient even arrives at the hub hospital, Viz Assist scans the external medical records and EMS PDFs to generate a one liner summary (e.g., "85M on Eliquis with LKW at 10:00 AM").
• Neuro-Specific Scribing: Unlike generic scribes that might struggle with stroke terminology, Viz Assist is tuned for neurovascular workflows. It specifically captures NIHSS scores, TPA administration times, and "Last Known Well" timestamps accurately.
• Coding Automation: It analyzes the draft note and suggests the specific ICD-10 and CPT codes, ensuring the hospital gets paid for the complexity of the case.
• Discharge Automation: It synthesizes the hospital course into a discharge summary, auto-populating follow-up instructions for stroke survivors.

Compliance & Security

• HIPAA Compliant: Yes.
• Regulatory Status: Non-Device CDS (Exempt).
  • Different from Viz Neuro: Unlike the Imaging algorithms (which require strict FDA 510(k) clearance because they diagnose), Viz Assist focuses on documentation and summarization, operating under the lower-risk "non-device" framework where the physician must verify the output.
• Security: Inherits the massive SOC 2 Type II / ISO 27001 security stack of the parent Viz.ai platform.

Implementation & Integrations

• Integration: Deep EHR. It lives inside the Viz.ai One platform but pulls data bi-directionally from Epic and Cerner.
• The "One App" Advantage: For Neurosurgeons, this is huge. They don't need to open a separate "Scribe App." They use Viz to see the scan, and then use Viz Assist to write the note, all in the same interface.

Pricing Model

• Structure: Module Add-on.
• Cost: Likely sold as an "Uplift" to the core Viz.ai contract. You typically cannot buy just Viz Assist without the underlying Viz.ai imaging platform.

The Doxiverse Assessment: Risks & Limitations

• The Strategic Upside: Service Line Efficiency. Standard scribes are generic. Viz Assist is "Context Aware". It knows the patient had a stroke alert 20 minutes ago, so it pre-fills the note with the scan results. Generic AI scribes cannot see the scan data.
• The "Lock-In" Risk: If you use Viz for imaging and documentation, it becomes nearly impossible to switch vendors later. You are fully committed to their ecosystem.
• Specialty Limitation: It is purpose-built for Acute Care (Stroke, Trauma, Vascular).

Part of the Viz.ai Ecosystem:

• Requires the Viz.ai One platform.
• See Viz.ai (Neuro) for the imaging capabilities.