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

<p>In this episode, hosts Applonia Cornolius and David Samwel sit down with <strong>Tony Antinori</strong>, AVP of IT for Clinical Affairs at <strong>NYU Langone Health</strong>, to discuss the reality of managing one of the most sophisticated healthcare data pipelines in the world. Tony, a veteran of the &quot;EHR arms race,&quot; explains why NYU’s success with AI didn&#39;t start with an algorithm—it started with a &quot;ruthless&quot; decision years ago to standardize on a single patient record across their entire institution. </p><p><br></p><p><strong>We break down:</strong></p><ul><li><p><strong>The &quot;One Record&quot; Advantage:</strong> How a single MRN across all hospitals eliminated the need for &quot;golden record&quot; stitching and paved the way for strategic AI stratification. </p></li><li><p><strong>NYU Ultraviolet:</strong> Their internal platform that gives the workforce selectable access to open-source models like Gemini and GPT, allowing clinicians to build their own prompts. </p></li><li><p><strong>AI as a Judge:</strong> A look at NYU&#39;s internal AI that validates public-facing conversations to ensure safety and prevent &quot;hallucinations&quot;. </p></li><li><p><strong>The Agentic Future:</strong> How NYU is moving toward &quot;fully autonomous&quot; scheduling that handles insurance verification and identity proofing before a human agent even picks up the phone. </p></li></ul><p>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.</p>