Objectives:

  1. Describe the learning health system framework and the role de-identified clinical data plays within it.
  2. Examine the research, quality improvement, and operational questions that a single de-identified dataset can answer.
  3. Identify the principal limitations of secondary EHR data and the governance and design safeguards that make its use defensible.
  4. Identify one answerable question within their own practice or department that existing data could address.
Session date: 
07/29/2026 - 7:30am to 8:30am CDT
Location: 
Virtually
United States
See map: Google Maps
  • 1.00 MOC: ABS Accredited CME
  • 1.00 MOC: ABS Lifelong Learning & Self-Assessment Points (Part II)
    This activity meets the ABS requirements for CME and self‐assessment credit toward Part 2 of the ABS MOC program.
  • 1.00 AMA PRA Category 1 Credit™
  • 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): 
Karl Doerfer, MD