✳flâneur — a map of the web's best reading

Generative AI in health care: Opportunities, challenges, and policy | Brookings

brookings.edu · 2,313 words · saved by 1 readers

The increasing consumption of and self-reliance on informal information sources, particularly the internet, by patients has long been a well noted trend in the health care system. However, with the emergence of generative artificial intelligence (AI), this dependence has not only been heightened but also rapidly extended to physicians and other health care providers. While earlier AI models were largely limited to analyzing and interpreting existing data, generative AI systems are capable of creating new content. This content creation capability, coupled with the ease of use and accessibility provided through user-friendly interfaces, has led to a surge in its adoption and use by many professionals, including health care providers. The overreliance on digital information sources traditionally stemmed from patients seeking to better understand their conditions. Now, with generative AI, health care providers might also lean heavily on AI-assisted decision-making. While the application of

Generative AI in health care: Opportunities, challenges, and policy | Brookings Search Home Generative AI in health care: Opportunities, challenges, and policy Share Share Search Sections Sections Share Share Subscribe to the Center for Technology Innovation Newsletter Sign Up Commentary Generative AI in health care: Opportunities, challenges, and policy Niam Yaraghi Niam Yaraghi Nonresident Senior Fellow - Governance Studies , Center for Technology Innovation (CTI) January 8, 2024 The proliferation of generative AI tools has led to an increased reliance on AI-assisted decision-making in the h

Explore this link on the map →

related reading