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The $15 Billion Problem Hiding Inside Hospital Workflows
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 real question is no longer whether healthcare will use AI.
It is whether AI can actually solve the messy, expensive, high-stakes problems buried inside the system.
Timestamps00:00 — Why clinical data abstraction is healthcare's hidden cost center 02:16 — Why registry work still requires clinical judgment 04:37 — The trust gap: why AI needs clinician oversight 05:38 — How Carta Healthcare repositioned around "hybrid intelligence" 10:01 — Why the AI hype cycle is giving way to ROI 11:54 — Why healthcare technology fails when it sits outside the workflow
Best MomentsGreg breaks down why some registry questions cannot be answered by simply searching the EHR. They require clinical inference, context, and expertise.
He also explains why healthcare buyers are getting sharper. A year ago, AI was the shiny object. Now, health systems want practical implementation, workflow integration, and measurable financial impact.
Key TakeawayAI will not win in healthcare because it sounds impressive.
It will win when it removes burden, protects accuracy, fits the workflow, and earns clinician trust.
That is the promise of hybrid intelligence.
Featured GuestGreg Miller VP, Carta Healthcare
Follow Boombostic Health for more conversations with the leaders building the future of healthcare.
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By Bradley BosticThe $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 real question is no longer whether healthcare will use AI.
It is whether AI can actually solve the messy, expensive, high-stakes problems buried inside the system.
Timestamps00:00 — Why clinical data abstraction is healthcare's hidden cost center 02:16 — Why registry work still requires clinical judgment 04:37 — The trust gap: why AI needs clinician oversight 05:38 — How Carta Healthcare repositioned around "hybrid intelligence" 10:01 — Why the AI hype cycle is giving way to ROI 11:54 — Why healthcare technology fails when it sits outside the workflow
Best MomentsGreg breaks down why some registry questions cannot be answered by simply searching the EHR. They require clinical inference, context, and expertise.
He also explains why healthcare buyers are getting sharper. A year ago, AI was the shiny object. Now, health systems want practical implementation, workflow integration, and measurable financial impact.
Key TakeawayAI will not win in healthcare because it sounds impressive.
It will win when it removes burden, protects accuracy, fits the workflow, and earns clinician trust.
That is the promise of hybrid intelligence.
Featured GuestGreg Miller VP, Carta Healthcare
Follow Boombostic Health for more conversations with the leaders building the future of healthcare.