“We hear more and more about people being concerned about getting too innovative in the healthcare space, and a desire for guardrails to help channel that innovation appropriately,” Tripathi said Tuesday. HHS components — like the National Institutes of Health, the Advanced Research Projects Agency for Health, the Centers for Disease Control, the Centers for Medicare and Medicaid and the Food and Drug Administration — have found a wide array of AI use cases. As with other agencies, creating internal chatbots to help HHS employees sift through large volumes of diverse data is a popular use case for HHS, but Tripathi notes that major commercial players, such as Meta’s Llama and OpenAI’s ChatGPT, are not trained on clinical data.
Tripathi said HHS is looking to leverage the vast troves of clinical data across HHS and other agencies to create finely-tuned AI models tailored to healthcare uses.