Explore health IT systems, ranging from data semantics, data interoperability, diagnosis code, to workflow in clinical decision support systems. Discuss how AI innovations are transforming healthcare systems by focusing on AI in drug discovery, AI in medical image diagnosis, explainable AI for health risk prediction, and ethics of AI in healthcare. Three lecture hours a week for one semester. Artificial Intelligence 395T (Topic: AI in Healthcare) and 380H may not both be counted. Prerequisite: Graduate standing.