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.

He’s back! In our most anticipated follow-up yet, Bob Hyle (CTO & Interim CDO of CareFirst) joins AI Explained to reveal why the "Pilot Era" of AI has officially ended. Bob pulls back the curtain on the evolution of his A³ Framework—the powerful convergence of AI, Automation, and Analytics—and explains why "soft" time-saving metrics are no longer enough to satisfy the business.

In this deep-dive, we explore:

• The Shift to Hard ROI: How CareFirst is tieing AI directly to SG&A savings, medical cost curves, and recurring revenue.

• The 4 Agentic Archetypes: A breakdown of how AI is being deployed as an Assistant, Coworker, Coach, and pure Automation .

• Governance at the "Bright Line": Managing the non-negotiable consistency of medical policy while embracing risk-based, live-learning releases .

• The 3D Chess of FinOps: Navigating the "science" of cloud costs versus the "brute force" reality of consumption-based AI pricing in a heterogeneous stack.

Whether you are an IT leader fighting "POC hell" or a business partner looking to redesign workflows from the ground up, Bob provides a masterclass in making AI a "northstar" for enterprise transformation rather than just another science project.

What happens when you drop a fintech heavyweight into the center of the kidney care world?

In this episode, David Samwel and Applonia Cornolius sit down with Madhu Narasimhan, CIO of DaVita Kidney Care, to discuss the intersection of high-velocity digital transformation and life-saving clinical precision. With a career spanning Kaiser Permanente and Wells Fargo, Madhu brings a unique "fintech lens" to healthcare—demanding frictionless user experiences in an industry where there is no "undo" button for patient care.

We dive deep into:

• The "Renal Codex": How DaVita leverages 30+ years of longitudinal data to build a clean, proprietary corpus for AI.

• Predictive Intervention: The AI model currently reducing hospitalization rates by 25% by predicting when home-dialysis patients are at risk of non-adherence.

• Radical Transparency: Why every clinical AI model at DaVita requires a sign-off from the Chief Medical Officer and a "human in the loop".

• The Future of Care: Madhu’s surprising take on why robotics and humanoid assistants are the next frontier for outpatient care.

  
  

Whether you’re a technologist, a healthcare leader, or an AI strategist, this conversation offers a masterclass in moving fast without breaking things—because in healthcare, you can’t "return" a transaction.