AI Explained: Healthcare and Life Sciences

NYU’s Tony Antinori on EHR Consolidation, 'AI as a Judge,' and the End of the EHR Arms Race

May 18, 2026·28 min
Episode Description from the Publisher

In this episode, hosts Applonia Cornolius and David Samwel sit down with Tony Antinori, AVP of IT for Clinical Affairs at NYU Langone Health, to discuss the reality of managing one of the most sophisticated healthcare data pipelines in the world. Tony, a veteran of the "EHR arms race," explains why NYU’s success with AI didn't start with an algorithm—it started with a "ruthless" decision years ago to standardize on a single patient record across their entire institution. We break down:The "One Record" Advantage: How a single MRN across all hospitals eliminated the need for "golden record" stitching and paved the way for strategic AI stratification. NYU Ultraviolet: Their internal platform that gives the workforce selectable access to open-source models like Gemini and GPT, allowing clinicians to build their own prompts. AI as a Judge: A look at NYU's internal AI that validates public-facing conversations to ensure safety and prevent "hallucinations". The Agentic Future: How NYU is moving toward "fully autonomous" scheduling that handles insurance verification and identity proofing before a human agent even picks up the phone. Tony brings a refreshing, pragmatic New York perspective to the AI hype, reminding us that for technology to work for a clinician, it has to be nimble enough to bend without breaking the workflow.

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