Niam Yaraghi

Jun 26, 2024 | brookings.edu | Niam Yaraghi

The Office of the National Coordinator for Health Information Technology (ONC) has recently finalized the Health Data, Technology, and Interoperability: Certification Program Updates, Algorithm Transparency, and Information Sharing (HTI-1) final rule. Established under the 21st Century Cures Act, the new HTI-1 final rule mandates updated transparency mechanisms in health information technologies, specifically in the application of artificial intelligence (AI).

Jan 8, 2024 | brookings.edu | Niam Yaraghi

Editor's note: This article was previously published in Health Affairs. 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  and other .

Jan 8, 2024 | healthaffairs.org | Niam Yaraghi

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 and other .  While earlier AI models were largely limited to analyzing and interpreting existing data, generative AI systems are capable of creating new content.

Aug 2, 2023 | brookings.edu | Niam Yaraghi

Despite our significant progress in making healthcare services more equitable to all populations, older people and those residing in nursing homes and long-term care facilities are often overlooked in mainstream discussions about healthcare equity. One of the reasons contributing to their exclusion from these discussions is the current funding structure for their care.

Jun 9, 2023 | healthaffairs.org | Niam Yaraghi

Since its debut to the world, ChatGPT has sparked an immense interest within the health care community. It is an example of large language models that use deep learning algorithms to process natural language and generate responses to user inputs in a conversational manner. This technology has the potential to improve the way patients interact with health care providers and enhance the overall quality of health care services.