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.
Session date: 
11/19/2026 - 12:00pm to 1:00pm CST
Location: 
Virtually
WI
United States
See map: Google Maps
  • 1.00 AAPA Category 1 CME
  • 1.00 AMA PRA Category 1 Credit™
  • 1.00 ANCC Contact Hours
  • 1.00 University of Wisconsin–Madison Continuing Education Hours
    • 1.00 Approved for AMA PRA Category 1 Credit™
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Discloser List CME Internal Report
Presenter(s): 
garrett matlick