Garner Health Founder on Measuring Doctor Quality, The AI Landscape & What Improves Healthcare

Nick Reber, CEO and founder of Garner Health, joins Jacob and Nikhil to walk through what is arguably one of the most structurally underrated problems in American healthcare: that the single biggest driver of cost and quality variation isn't which hospital system you use or whether your plan is value-based — it's which individual doctor you see. Nick traces the intellectual journey from his time at Oscar Health, where he first encountered 4x variation in complication rates across physicians at the same brand-name institutions, to building Garner's core infrastructure: a dataset of 320 million patients used to score every doctor in the country on quality-adjusted outcomes, layered on top of existing employer health plans with financial incentives to steer patients toward top performers. The episode drops alongside the announcement of Garner's Series E , valuing the company at approximately $2.7 billion. The conversation covers the technical depth required to actually measure physician quality fairly (and why existing methodologies are fundamentally flawed), why value-based care has largely failed and what actually moves patient behavior, how AI will reshape the front door of healthcare, what it will take for AI health companies to build durable businesses beyond 2030, and why the solution to the US healthcare cost crisis may be as simple — and as politically hard — as treating it like a corporate expense policy. 0:00 Intro 0:30 Garner's Origin Story 2:05 Doctor Choice Is the Biggest Lever 3:45 How Garner Works 5:43 Why Old Scoring Methods Failed 7:39 The Knee Pain Problem 11:58 Consumer UX, Incentives, and AI 33:44 How Much Spend Can AI Actually Touch? 36:00 Why Doctor Choice Needs Plan Integration 39:18 Build vs. Buy: Garner's AI Philosophy 41:38 The Unified Data Flywheel 43:01 What Actually Predicts Doctor Quality? 46:28 Enabling Independent Providers 51:37 Quickfire Out-Of-Pocket: https://www.outofpocket.health/