From Promise to Proof: Redesigning Clinical Workflows with Generative AI

Chris Mansi, M.D., M.B.A., and Andrew M. Ibrahim, M.D., M.Sc.
Abstract
Health care is facing unprecedented strain, with clinicians overwhelmed by documentation, hospitals under financial pressure, and patients waiting longer for care. Generative AI offers a new opportunity � not to replace clinicians, but to redesign workflows so that critical information is surfaced at the right time, reducing burden and improving outcomes. Viz Assist, a generative AI clinical copilot from Viz.ai, builds on the company�s proven imaging-based solutions and is already demonstrating real-world impact: reducing chart review time by more than half, closing life-saving care gaps, and strengthening financial sustainability through more accurate coding and reimbursement. By embedding trusted, specialty-aware AI directly into clinical workflows, we can restore time to clinicians, deliver measurable ROI to health systems, and advance patient care at scale.

From Promise to Proof: Redesigning Clinical Workflows with Generative AI