SCCMPod-552: AI in Critical Care and Education

In this episode of the Society of Critical Care Medicine (SCCM) Podcast, host Diane C. McLaughlin, DNP, AGACNP-BC, CCRN, FCCM, welcomes guests Kaitlin M. Alexander, PharmD, BCCCP, and Ankit Sakhuja, MD, MS, FCCM, from SCCM’s Leadership, Empowerment, and Development (LEAD) Program, to discuss the use of AI in critical care education and clinical practice. Dr. Alexander is a clinical associate professor in the Department of Pharmacy Education and Practice at University of Florida. Dr. Sakhuja is the director of artificial intelligence and informatics at the Institute for Critical Care Medicine and director of clinical informatics research in the Division of Data-Driven and Digital Medicine. The discussion highlights how critical care educators and clinicians benefit from learning how to use AI and understanding its benefits and limitations. Incorporating AI into critical care education teaches students how to use AI responsibly in school and later in clinical practice. Clinicians should understand the utility of different AI models for patient care and be well versed in the ethical and legal treatment of patient data. Drs. Alexander and Sakhuja provide examples of practical uses for AI in critical care. AI can help students test their knowledge with interactive case simulations paired with discussion with instructors and peers. AI can analyze vast amounts of patient data, supporting clinical decision-making. The guests encourage clinicians and educators in critical care to engage with AI and contribute to its responsible use. Listeners will gain valuable insights into the uses of AI.