Healthcare Transformation and AI — How UHealth Optimized Radiology Workflows to Improve Clinical Outcomes and Billing Performance

AI is rapidly transforming Healthcare and nowhere is that more evident than in diagnostic imaging. In most health systems, radiology billing and coding is not radiologist-driven, meaning critical clinical findings frequently go undocumented and unreimbursed. Fewer than 5% of radiologists review their own billing codes, compared to over 90% of primary care physicians — a disparity that has contributed to nearly 50% reimbursement losses in radiology over the past decade. At the same time, federal scrutiny of low-value care designations is driving a surge in medical necessity denials, placing both clinical credibility and revenue integrity at risk. For clinical leaders, this means missed opportunities for timely patient follow-up; for administrative and revenue cycle leaders, it means significant and preventable financial loss.

UHealth at the University of Miami recognized this dual challenge and took decisive action. Performing over 300,000 imaging procedures annually, UHealth partnered with Quantiphi and AWS to deploy a Generative AI-powered solution under their landmark "No Findings Left Behind" initiative. The result is Hurricode — an innovative application designed to accelerate and improve the accuracy of ICD-10 diagnostic code identification directly within radiologists' workflows. Hurricode addresses the needs of both clinical and administrative stakeholders simultaneously: clinically, it enables earlier identification of at-risk patients and supports timely follow-up care; administratively, it strengthens quality metrics, enhances documentation integrity, and drives legitimate, patient-centric reimbursement through more accurate billing and coding.

Join us for this live virtual webinar featuring Dr. Alexander M.McKinney, Chair of Radiology at the University of Miami Miller School of Medicine, and Dr. Rowland Illing, Global Chief Medical Officer and Director of Healthcare & Life Sciences at AWS, as they share firsthand insights into how AI is transforming radiology — not just as a clinical tool, but as a strategic enabler of operational and financial performance. Whether you are a radiologist, department head, CMO, CFO, or revenue cycle leader, this session will offer actionable perspectives on how AI-driven workflow innovation can deliver measurable impact across your organization.

Key Takeaways:

Understand how today’s inefficient radiology workflows can cause radiologist burnout, negatively impact clinical outcomes, and result in loss of revenue from denied claims.
Learn how Quantiphi, leveraging Amazon Bedrock, AWS’s fully managed service providing access to high performing Foundation Models, accelerated code identification by radiologists with improved accuracy.
Discover how UMiami, using generative AI, is achieving ~ 90% accuracy on real world data, estimating 40% reduction in manual effort, and a ~34% increase in forecasted revenue while processing 1 million diagnostic reports annually. All- while enabling earlier identification and follow up of at-risk patients and improving billing reimbursement.

Dr. Alexander M. McKinney

Shapiro Chair and Professor, Department of Radiology - University of Miami - Miller School of Medicine

Alexander M. McKinney IV, MD, serves as Shapiro Chair and Professor of Clinical Radiology at the University of Miami Miller School of Medicine and as Chair of Radiology at Jackson Memorial Hospital. Since joining in 2020, he has led remarkable growth, nearly doubling the faculty, tripling promotions, and building a culture that combines clinical excellence with research, innovation, and faculty wellness.

Before coming to Miami, Dr. McKinney spent 26 years at the University of Minnesota, where he trained in medical school, residency, and neuroradiology fellowship (including additional training at SickKids in Toronto). He went on to serve as Division Director of Neuroradiology, Vice Chair of Research and Informatics, and co-Chair of the Medical School’s Diversity, Equity, and Inclusion efforts.

Dr. McKinney is internationally recognized for advancing neuroimaging in stroke, encephalopathy, vascular injury, and pediatric brain disorders. He has published more than 150 peer-reviewed papers, three books, and multiple national guidelines, while also holding patents in imaging informatics.

At Miami, his vision is framed by the “CARES” model—Clinical, Administrative, Research/Innovation, Educational, and Service excellence—focusing on radiology’s impact on patient care, research, and health equity throughout South Florida and beyond.

Dr. Rowland Illing

Chief Medical Officer and Director of Global Healthcare and Life Sciences - Amazon Web Services

Dr. Rowland Illing serves as Chief Medical Officer and Director of Global Healthcare and Life Sciences for Amazon Web Services (AWS). In this role, he oversees strategy and engagement for healthcare and Life Sciences customers worldwide, encompassing providers, payors, and health technology companies. His work centers on leveraging technologies such as artificial intelligence to drive innovation in health equity and sustainability, while also enabling healthcare organizations to optimize their data utilization for improved efficiency and patient outcomes.

An Academic Interventional Radiologist by training, Dr. Illing was previously Director of the Interventional Oncology Service at University College Hospitals London. He holds positions as Honorary Associate Professor at University College London and Visiting Professor of Informatics and Imaging at Oxford University. His professional affiliations include membership in the Royal College of Surgeons of England, fellowship in the Royal College of Radiologists, senior fellowship in the UK's Faculty of Medical Leadership and Management, and membership in the Leadership Consortium of the US National Academy of Medicine. Dr. Illing maintains an active presence in academia through ongoing presentations and publications in the field.

Jim Keller

AWS Global CEO, Quantiphi - Quantiphi Inc.

Jim Keller is a distinguished technology veteran with nearly four decades of leadership experience spanning software engineering, operations, marketing, sales, and corporate leadership. He leads the AWS and Snowflake Global Business at Quantiphi, providing strategic direction for commercial and public sector sales teams delivering transformative cloud and AI solutions at scale. Under his leadership since 2021, Quantiphi achieved Premier Status in the Amazon Partner Network, accrued 17 technical and industry competencies, and earned Industry and Public Sector GenAI Partner of the year awards. As a foundational member of AWS’s GenAI Innovation Center, Quantiphi has built several cutting-edge solutions and accelerators to benefit joint customers. His passion lies in helping customers harness AWS for innovation, AI-powered automation, and achieve measurable outcomes.

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