Phi Moments Podcast | Episode 8 - Rewiring Healthcare: AI & the Future of Radiology Workflows

Radiologist salaries have risen 40–50% in recent years. Burnout hasn't gone down. It's gone up. The problem isn't pay. It's purpose. Radiologists read hundreds of studies, flag findings, sign reports, and move on without knowing if their work ever changed a patient's outcome. Meanwhile, 15–30% of advanced imaging studies contain actionable findings that risk being lost in fragmented workflows. In Episode 8 of the Phi Moments Podcast, Jim Keller sits down with Dr. Alexander McKinney, Chair of Radiology at the University of Miami Miller School of Medicine, to discuss how generative AI on Amazon Bedrock is turning radiology from a linear conveyor belt into a circular imaging lifecycle where no finding gets left behind. You'll hear about: 🔹 Why purpose, not pay, is the real driver of radiologist burnout 🔹 The "No Findings Left Behind" vision and what it means for patient outcomes 🔹 How HurriCode compresses patient follow-up from weeks to days 🔹 Early ROI: 2–10% revenue recovery from coding accuracy 🔹 What's next: pathology, cardiology, and patient-facing AI #QuantiphixAWS #PhiMoments #HealthcareAI #APNproud #AWSPartner #B2BPodcast #Podcast #Quantiphi #SolvingWhatMatters