Entrepreneur, CEO, And Co-Founder of Hippocratic AI

CEO Munjal Shah To Demo ‘Super-Staffing’ Health Care LLM at the Commonwealth Club of California

Hippocratic AI, a pioneer in generative artificial intelligence for healthcare, is set to demonstrate its nondiagnostic large language model at the Commonwealth Club of California on February 12, 2024. This event aims to address the critical staffing shortages in the healthcare sector by showcasing an AI model that provides services like chronic care management and patient navigation. Co-founded by Munjal Shah in 2022, Hippocratic AI is focused on “super-staffing,” a concept where scalable AI solutions improve healthcare access and equity. The demonstration will involve a live interaction between Shah and a “digital nurse assistant,” offering insights into how AI can transform patient care. The event will also host a discussion featuring Shah, Stephen Klasko, M.D., and moderated by Robert Lee Kilpatrick, Ph.D.

Hippocratic AI is supported by investors General Catalyst and Andreessen Horowitz and aims to deliver the safest Health General Intelligence to enhance global healthcare outcomes. Founded by experts from prominent institutions like El Camino Health, Johns Hopkins, and Stanford, the company has raised $67 million in funding. The Commonwealth Club of California, the venue for the demonstration, is the largest public affairs forum in the U.S., hosting over 450 events annually on diverse topics. The upcoming event will be open to healthcare professionals, tech enthusiasts, and the general public, offering both in-person and online participation options. Pre-registration is required to access the livestream of this transformative event.

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MUNJAL SHAH’S AUDACIOUS BET ON THE FUTURE OF HEALTHCARE AI

As co-founder and CEO of Hippocratic AI, Munjal Shah is developing artificial intelligence that he believes could fundamentally reshape how medical care is delivered. His company’s generative AI large language models, purpose-built for healthcare, aim to take on countless routine tasks. Those tasks are currently performed by healthcare providers, everything from preoperative instructions to chronic disease management check-ins.

“What if instead of doing a co-pilot model, we do autopilot?” Shah posits, contrasting his vision with AI tools designed merely to assist human clinicians. “What if we build fully automated AIs that call people on the phone and talk to them? Imagine an AI that can do nondiagnostic, low-risk tasks like preoperative calls and medication reminders?”

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