The HLTH conference in Las Vegas was abuzz with talk of generative AI in healthcare. From AI start-ups focused on medical search tools to patient engagement and even penis health, the conference showcased the wide-ranging applications of AI in healthcare. However, there were concerns about the rapid pace of change and the need for regulation to ensure patient safety.
Generative AI, particularly in the form of large language models like ChatGPT, is being hailed as a game-changer in healthcare. Although some acknowledge its limitations and false responses, it is already being used in areas such as note summarization and generating patient consultation summaries. Epic, a leading EMR provider, has incorporated ChatGPT-based functions into its software, and Microsoft’s co-pilot tools are another example of generative AI in action.
But with the march of generative AI comes the need for regulation. Dr. David Rhew, Global CMIO at Microsoft, emphasized the importance of safe deployment and highlighted the challenges of regulating AI in health. Dr. Brian Anderson, co-founder of the Coalition for Health AI (CHAI), voiced concerns about the unregulated nature of generative AI and called for initiatives like CHAI to ensure patient safety.
While generative AI holds promise for increasing productivity and addressing the challenges of the US healthcare system, its value lies in specific use cases. Dr. John Halamka from the Mayo Clinic platform shared his experience of using generative AI to summarize emails and simplify administrative tasks. However, he emphasized that clinical approval and individual use cases are crucial before widespread adoption.
Another important consideration is the potential for generative AI to exacerbate inequalities between healthcare systems. Dr. Anderson raised concerns about the gap between well-resourced and underprivileged systems, urging the development of tools that benefit all healthcare systems. Transparency with patients and involving patient advocates in the development of AI models were also highlighted as essential principles.
Trust, both from patients and clinicians, is vital in the widespread adoption of generative AI. Dr. Thomas from Urology Virginia emphasized the need to educate patients about the benefits of AI and gain their trust. Dr. Rhew echoed the importance of trust and stressed the need for transparent communication with patients about the training and use of AI models.
As generative AI continues to advance and reshape healthcare, the industry must navigate the challenges of regulation, inclusivity, and building trust. How do you think generative AI can revolutionize healthcare? Share your thoughts in the comments below!
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