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.