Entrepreneur, CEO, And Co-Founder of Hippocratic AI

Digital health leaders on the most noteworthy events of 2023

In 2023, the digital health sector witnessed significant developments, with generative AI becoming mainstream, the release of ChatGPT, the collapse of Silicon Valley Bank, and Medicaid disenrollment being highlighted as key events. Executives from various companies shared their insights on these occurrences. Matthew Stoudt of AppliedVR noted the shockwave caused by the Silicon Valley Bank collapse, which highlighted both the fragility and resilience of the innovation industry. Ankit Gupta of Bicycle Health discussed the impact of proposed DEA regulations on telemedicine, which faced pushback from patients and leaders, emphasizing the importance of protecting access to care.

Amit Khanna from Salesforce pointed out the unexpected rise of generative AI, comparing it to an “internet” moment for tech, while Munjal Shah of Hippocratic AI highlighted ChatGPT’s role in advancing AI’s capabilities. Eran Orr from XRHealth was surprised by Apple’s Vision Pro, a mixed reality device, and Ann Bilyew of WebMD Ignite described 2023 as tumultuous, noting innovations like AI/LLM and regulatory changes. Russell Glass from Headspace observed the growing mainstream dialogue on AI-driven healthcare, urging caution in its implementation, particularly in mental health. Doug Hirsch from GoodRx raised concerns about the impact of Medicaid disenrollment on vulnerable populations, predicting significant health effects in 2024.

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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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