Stanford Health Care via YouTube: In this session, Dr. Nigam Shah of Stanford School of Medicine and Stanford Health Care discusses the vital role of AI in health care, emphasizing the importance of using it safely, ethically, and cost-effectively. He uses a patient timeline to illustrate the incomplete nature of health care data, further highlighting the importance of having a good data structure, an effort Stanford Medicine has invested in since at least 2005. Dr. Shah shares AI application examples such as “The Green Button Project”, which enabled on-demand consultations to physicians based on aggregated, real-world data from similar patients, and the use of AI to predict patient prognosis and to inform which patient should be prioritized for advanced care planning conversations. He stresses the importance of thinking about the capacity of the health system and the actions we can take, in addition to focusing on the AI models. He also calls out the need to define and verify the benefits of large language models (LLMs) as they are piloted/adopted in medicine. He concludes by introducing the Data Science team, outlining the areas of focus for the team in accelerating innovations around artificial intelligence at Stanford Health Care.
Speaker: Nigam Shah, MBBS, PhD, Professor of Medicine, Stanford School of Medicine; Chief Data Scientist, Stanford Health Care