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Healthcare AI Governance Frameworks: Why Speed Without Guardrails Is Exposure, Not Innovation
On February 23, 2026, Vantage Precision Health submitted a formal response to the U.S. Department of Health and Human Services' Request for Information on accelerating AI in clinical care. We support acceleration. But acceleration without governance infrastructure isn't progress it's accumulated risk transferred onto the most vulnerable patients and the providers who serve them. This post summarizes our position, explains the policy context, and argues for what we believe is

Y. Olivia Erimsah
Feb 259 min read


Why Healthcare AI Pilots Stall After Promising Starts (And 5 System Fixes)
The pattern is painfully familiar across health systems, behavioral health networks, and primary care organizations. Leadership approves an AI pilot with genuine enthusiasm. The vendor demonstrates impressive capabilities during controlled testing. Early adopters, typically tech-savvy clinicians, report positive experiences. Usage metrics show promising engagement. Leadership approves expansion funding. Then, inexplicably, momentum dies. Usage plateaus within 30-60 days after

Y. Olivia Erimsah
Feb 2014 min read


Why 80% of Healthcare AI Pilots Fail And How to Fix It
The healthcare AI adoption crisis isn't a technology problem. It's a systems problem. Despite billions invested in artificial intelligence tools for clinical settings, 80-95% of AI pilots never make it past the initial implementation phase. Healthcare organizations find themselves trapped in what we call "pilot purgatory" a cycle of promising demonstrations followed by stalled deployments, minimal user engagement, and ultimately, discontinued contracts. The pattern is remarka

Y. Olivia Erimsah
Feb 206 min read
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