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Large language models in health care [PODCAST]

The Podcast by KevinMD
Podcast
February 23, 2024
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We delve into the intersection of large language models (LLMs) and health care with David Lareau, a health care executive. Since the debut of ChatGPT, the health care sector has been abuzz with anticipation and intrigue regarding the potential applications of LLMs in medicine. However, amidst the excitement lies a critical discussion about the inherent limitations and risks associated with these powerful tools. Join us as we explore the challenges of LLMs hallucinating inaccurate information, the perpetuation of biases in medical data, and the importance of integrating clinical relevancy engines to refine LLM outputs.

David Lareau is a health care executive.

He discusses the KevinMD article, “The promise and pitfalls of large language models in clinical applications.”

Our presenting sponsor is Nuance, a Microsoft company.

Together, Microsoft and Nuance are leveraging their rich digital technology and advanced AI capabilities to tackle some of health care’s biggest challenges. AI-driven technology promises to revolutionize patient and provider experiences with clinical documentation that writes itself.

The Nuance Dragon Ambient eXperience, or DAX for short, is a voice-enabled solution that automatically captures patient encounters securely and accurately at the point of care. DAX Copilot combines proven conversational and ambient AI with the most advanced generative AI in a mobile application that integrates directly with your existing workflows.

Physicians who use DAX have reported a 50 percent decrease in documentation time and a 70 percent reduction in feelings of burnout, and 85 percent of patients say their physician is more personable and conversational.

Discover AI-powered clinical documentation that writes itself. Visit https://nuance.com/daxinaction to see a 12-minute DAX Copilot demo.

VISIT SPONSOR → https://nuance.com/daxinaction

SUBSCRIBE TO THE PODCAST → https://kevinmd.com/podcast

RECOMMENDED BY KEVINMD → https://kevinmd.com/recommended

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  • Most Popular

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