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.
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.
David Stoffel, M.D., has spent more than 20 years developing and commercializing innovative technologies and services in the medical device industry. David has an extensive track record of success in scaling healthcare businesses. Notably, he led marketing and corporate development at Intuitive Surgical, contributing significantly to establishing the da Vinci surgical robotic system as a new surgical standard of care. He also helped launch and lead the Mobile Cardiac Telemetry business at iRhythm Technologies, one of the fastest-growing digital health companies, and was Chief Business Officer at Ceribell, maker of an innovative point-of-care EEG solution.
Earlier in his career, David was a partner at a healthcare venture capital firm, where he invested in and helped build early-stage companies. He started his career in investment banking focused on corporate finance.
At RapidAI, David leads a variety of commercial, clinical, and operational teams, including Marketing, Customer Retention and Success, Clinical Affairs, Training & Education, Corporate Development, and Finance.
David has a BA in Economics from Stanford University and received an MD and MBA from the University of Chicago.