Srikar Yeruva: Can hospitals avoid waste with full-workflow data?

Srikar Yeruva is an engineer-turned-serial entrepreneur, and we spoke about why he believes healthcare transformation starts with respecting the problem—not throwing technology at it. After years building technical companies, exiting one to Bain Capital and selling another in smart contracts, he realized “technology doesn’t sell—solutions do.” That shift pulled him into the heart of U.S. health systems, where he learned firsthand how hospitals operate, why workflows break, and why efficiency has become a survival issue.His approach centers on a simple sequence: digitize the entire workflow, analyze what the new data reveals, then optimize using AI only when it’s actually needed. As he put it, “AI without PI is not going to work out,” because applying algorithms without practical intelligence usually makes things worse. He described gaps that create real harm—blood shortages, lost tumor samples, misused biomedical assets—and how digitizing from “A to Z” exposes the hidden friction that drains time, money, and patient safety.Yeruva also shared clear advice for young builders: “Respect the problem first,” talk to people who’ve tried solving it before, and be patient enough to understand the pain points before designing anything. Bootstrapping taught him that every dollar and every hour matters, but it also taught him the value of outside validation and surrounding yourself with people “smarter and wiser” than you.Listeners will walk away with a grounded, practical view of how real innovation in healthcare happens—and why understanding the problem beats chasing the newest technology.Key takeawaysDigitize workflows fully before analyzing or optimizing with AI.Practical intelligence is required; AI alone will fail.Identify workflow gaps causing waste, errors, or lost samples.Respect the problem first and study failed attempts.Bootstrapping builds discipline; outside money validates products.Efficiency gains free resources for patient care, not overhead.

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