Press Release: Viz.ai Launches Viz Agent Studio Enabling Health Systems to Build and Scale Their Own AI Care Pathways

Viz Pulmonary™ Suite

For every pulmonary pathway.

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A picture collage of doctors and a patient being diagnozed in a hospital room

The first comprehensive AI-powered solution dedicated to pulmonary care delivery

The Viz Pulmonary™ Suite connects acute and chronic workflows across inpatient and outpatient settings, helping pulmonary care providers identify patients needing follow-up earlier, close care gaps faster, and deliver more consistent, guideline-aligned care.

Designed for a more efficient pulmonary care model with less leakage, less manual burden, greater capacity, and better patient outcomes.

Pulmonary care can be complex — and fragmented workflows may leave patients behind.

Pulmonary care teams manage a heterogeneous breadth of conditions requiring consistent follow-up and clear management for patients vulnerable to acute events. The complexity of care delivery is increased by disconnects between care settings, the burden of manual chart review, and referral processes and patient lists that can become hard to track at scale.

30-50% of patients hospitalized for acute COPD are readmitted within 30 days

The 2026 GOLD report strongly recommends follow-up 1-4 weeks after AECOPD to manage the disease, but only 18% of patients receive that follow up

1.6 million U.S. patients are identified with incidental pulmonary nodules each year

50-60% of those patients do not receive guideline-concordant follow-up care

Up to 79% of incidental pulmonary embolism go unreported

during initial clinical interpretation of imaging with an incidental PE finding. 67% of missed emboli are clinically significant.

Disconnected systems leave gaps that can delay care and impact outcomes.

Across PE, COPD, and lung nodule management, care consistently breaks down not at the moment of detection — but between detection and action. These are coordination failures. And they are addressable.

What Clinicians Are Saying

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