Generative AI has been one of the biggest topics in technology in the last year. Some say it can change the world, others are worried it is the beginning of an AI takeover.  There is no denying it has the potential to revolutionize healthcare and how government serves the public. AI can improve how organizations deliver healthcare by increasing efficiency in diagnosis, treatment, and prevention. AI is also improving the quality of medical care by helping clinicians better understand patient’s needs based on data from their health history to genetic tests and lifestyles factors. The Department of Veterans Affairs (VA) is using a generative AI tool to automatically transcribe and document medical conversations between clinicians and patients, reducing the burden of manual documentation so healthcare workers can focus more on patient care. Meanwhile, The National Institutes of Health (NIH) is supporting research on generative AI for various health care purposes, such as drug discovery, disease diagnosis, and medical imaging. However, Gen AI also poses some challenges and risks in the areas of data quality, security, privacy, ethics, bias, and accountability.

Join this session to hear federal health leaders discuss how their agencies have been working to test and implement generative AI. Panelists also will discuss how agencies can ensure that Gen AI is developed and deployed in a responsible and trustworthy manner that aligns with the values and goals of the federal health care system.