How Healthcare AI Is Moving From Point Solutions to Enterprise Infrastructure | David Stoffel, RapidAI

Healthcare doesn't need more AI pilots. It needs AI that can prove its value. Healthcare organizations are moving beyond experimenting with individual AI tools and beginning to think about AI as enterprise infrastructure. But scaling AI across an entire health system requires more than adding algorithms. It requires integrated workflows, secure technology infrastructure, clinical validation, data governance, and measurable financial and clinical impact.

In this episode of The Beat's AI at ViVE series, Sandy Vance sits down with Dr. David Stoffel, Chief Business Officer at RapidAI, to discuss how healthcare AI is evolving from point solutions into enterprise platforms. David explains how RapidAI expanded from its roots in stroke care to a broader clinical AI platform, why health systems are looking to consolidate dozens of AI pilots, and what it takes to connect imaging insights to action throughout the patient journey.

The conversation also explores clinical AI, healthcare IT infrastructure, interoperability, AI governance, clinical validation, reimbursement, and ROI. David shares why the next phase of healthcare AI will be defined not simply by what an algorithm can do, but by whether it can produce measurable improvements in clinical care and financial performance.