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Explore How AI is Ending the Clinician Shortage w/ Munjal Shah Co-Founder & CEO of Hippocratic AI with 8,244 views, 703 likes, and 13 comments. Experience the impact of this video content that has captured audience attention.

What if the clinician shortage isn't a staffing problem to optimize around, but the assumption every part of healthcare has been built on, and the one AI can finally remove? In this episode of Catalio Conversations, Martha Petrocheilos sits with Munjal Shah, co-founder and CEO of Hippocratic AI, who builds generative AI agents doing non-diagnostic patient work at the scope of a registered nurse. His argument: the comparison isn't AI versus a nurse. It's AI versus nothing, because almost no health system calls a discharged patient every day for a week. Munjal's graduate work at Stanford was in AI, he sold his second company to Google, and he spent a decade helping seniors navigate Medicare. He named this one after the Hippocratic Oath, put do no harm under the logo, and gave his chief medical officer a direct line to the board around him. Hippocratic raised a $50 million seed and then didn't ship for eighteen months, testing against thousands of US-licensed nurses until the agent scored as safe as a human. The architecture follows the same logic: one model speaks, thirty supervise it in parallel, all inside 500 milliseconds. It won't diagnose, prescribe, or go off script, and won't touch mental health, hospice, or high-risk pregnancy. One health system handed over 1,700 patients lost to follow-up on lung cancer CT scans, all of them already called, texted and written to. The agent convinced 252 to schedule, 180 attended, and nine had significant findings, for roughly $2,000 in AI minutes. Hippocratic is past 200 million patient interactions with no severe harm events, at Cleveland Clinic, Northwestern and Cincinnati Children's. Perfect for health system leaders, healthcare investors, and anyone judging where AI can safely reach patients, this episode argues that the burden of chronic disease sits in management rather than diagnosis, and that is where the new capacity has to go. Timestamped summary: 00:00 — Introduction: Hippocratic AI and the healthcare staffing gap 01:14 — Munjal's path from AI to healthcare 03:16 — Why safety came first 05:23 — Early bets: medical records, voice, and autopilot 06:44 — What an AI care agent actually does 09:02 — From copilot to "super staffing" 10:21 — Reaching patients lost to follow-up 11:29 — Inside the 31-model safety architecture 15:00 — Earning hospital trust and building with nurses 17:37 — What healthcare abundance could mean for patients 18:45 — Will AI replace nurses? 21:45 — Why constraints and safety are features 23:29 — Quick-fire and closing About Catalio Conversations: Welcome to Catalio Conversations! We spotlight founders & CEOs across innovative healthcare, AI & life sciences, who are building the next generation of disruptors in the space – from drug discovery and autonomous labs to clinical intelligence & beyond. The future starts here. Resources & Links: Hippocratic News - https://www.fiercehealthcare.com/ai-a... Hippocratic Official Website - https://hippocraticai.com/ Compliance disclaimer: Martha Petrocheilos is employed at Catalio Capital Management, LP. All views expressed here by Catalio employees and guests are solely their opinions and do not reflect the opinions of Catalio Capital Management, LP. You should not treat any opinions expressed as specific endorsement to make a particular investment. Any past performance discussed is not indicative of future results and investment in a fund entails a high degree of risk, including the risk of loss. References to any securities are for informational purposes only, and do not constitute an investment recommendation or offer to provide investment advisory services.

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