The AI Revolution in Medicine, Revisited: The reality of generative AI in the clinic

Two years ago, OpenAI’s GPT-4 kick-started a new era in AI. In the months leading up to its public release, Peter Lee, president of Microsoft Research, cowrote a book full of optimism for the potential of advanced AI models to transform the world of healthcare. What has happened since? In this special podcast series—The AI Revolution in Medicine, Revisited—Lee revisits the book, exploring how patients, providers, and other medical professionals are experiencing and using generative AI today while examining what he and his coauthors got right—and what they didn’t foresee.

In this episode, Dr. Christopher Longhurst and Dr. Sara Murray, leading experts in healthcare AI implementation, join Lee to discuss the current state and future of AI in clinical settings. Longhurst, chief clinical and innovation officer at UC San Diego Health and executive director of the Jacobs Center for Health Innovation, details his healthcare system's collaboration with Epic and Microsoft to integrate GPT into their electronic health record system, offering clinicians support in responding to patient messages. Dr. Murray, chief health AI officer at UC San Francisco Health, discusses AI’s integration into clinical workflows, the promise and risks of AI-driven decision-making, and how generative AI is reshaping patient care and physician workload.

Learn more:

Large Language Models for More Efficient Reporting of Hospital Quality Measures

Generative artificial intelligence responses to patient messages in the electronic health record: early lessons learned

The Chief Health AI Officer — An Emerging Role for an Emerging Technology

AI-Generated Draft Replies Integrated Into Health Records and Physicians' Electronic Communication 

Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum

The AI Revolution in Medicine: GPT-4 and Beyond