Boombostic Health · 2026-06-18 · 14 min
The $15 Billion Problem Hiding Inside Hospital Workflows Everyone wants to talk about AI in healthcare. Greg Miller wants to talk about the work no one sees. In this live conversation from ViVE, Greg Miller, VP at Carta Healthcare , joins the Boombostic Health Podcast to expose one of healthcare's most expensive hidden problems: the billions spent manually abstracting clinical data for registries, quality reporting, accreditation, CMS measures, and benchmarking. This is not basic data entry. It is highly skilled clinical work. Nurses and clinical experts are digging through EHRs, interpreting complex patient records, and making judgment calls that directly impact how hospitals measure quality and performance. Greg calls it "swivel chair interoperability," and it is costing U.S. healthcare an estimated $10 - $15 billion every year . But the answer is not just "throw AI at it." Greg makes the case for hybrid intelligence : AI powerful enough to accelerate the work, with clinician oversight strong enough to earn trust. Because in healthcare, accuracy is not optional, workflow matters, and the market is moving past AI hype toward solutions that prove ROI fast.
The $19,000 Bill That Exposed Healthcare's Biggest Problem73 / 100
AI Won't Save Healthcare If the Data Layer Is Broken
From Chart Review to Clinical Capacity Duke's AI Strategy
Why Healthcare AI Needs Better Data Before Bigger Promises
Can Diagnostics Solve the Healthcare Cost Crisis?