Learning objectives:

1. Define the Healthcare AI Evolution. Discuss the arc from 2010s deep learning and predictive EHR scores to modern Transformer-based generative AI.
2. Examine AI for Clinical & Academic Efficiency. Apply practical workflows for ambient documentation, patient health literacy, and didactic preparation.
3. Identify Best Clinical Prompting & Tool Selection. Construct context-rich clinical prompts and contrast open-web LLMs with curated medical evidence engines.
4. Develop Programmatic Guardrails Against Deskilling. Establish agency/program AI policies, 6-month competency check-offs, and safe verification habits.