Speaker(s): 

Kyle McNamara, DO, Resident, Geisinger - has nothing to disclose.

Moderator(s): 

Michaelyn Notz, DO, Staff Member, Geisinger - has nothing to disclose. 

Learning Objectives: 

At the conclusion of this session, the participant should be able to: 

  • Define deskilling in clinical medicine and distinguish automation that supports judgment from automation that replaces it
  • Identify clinical workflows in which AI use increases the risk of cognitive or diagnostic deskilling
  • Recognize early signs of deskilling in clinicians and trainees, particularly in diagnostic reasoning and clinical narrative construction
  • Apply practical strategies to use AI as a cognitive aid while preserving independent clinical judgment
  • Discuss implications of AI-driven deskilling for residency training, supervision, and patient safety

Disclosure of Relevant Financial Relationships with/without Commercial Interests:

The Planning Committee consisting of Michaelyn Notz, DO; Jeffrey Summers, DO and Shriraj Patel, DO have no identified disclosures. 

CE Committee Member/Content Reviewers have nothing to disclose. 

Any/All relevant financial relationships have been mitigated. 

Content Disclosure: 

This presentation/content is HIPAA compliant. 

Commercial Support for this Session

None

Session date: 
02/19/2026 - 12:00pm to 1:00pm EST
Location: 
Virtual Activity Using Microsoft Teams
PA
United States
  • 1.00 AMA PRA Category 1 Credit
  • 1.00 AOA Category 1-A
  • 1.00 Participation Credit
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