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Description

BACKGROUND 

  • Remediation is high-stakes, longitudinal, and documentationintensive.¹ 
  • Faculty synthesize fragmented qualitative and performance data into individualized plans and high-stakes decisions.¹,⁴ 
  • GenAI is increasingly studied in GME assessment and feedback; longitudinal remediation remains underexplored.²,⁵

OBJECTIVE
Map current and emerging GenAI applications across the remediation cycle, including opportunities, limitations, and priorities for responsible implementation.

Publication Date

10-16-2026

Keywords

graduate medical education, GME, artificial intelligence

Disciplines

Medical Education | Medicine and Health Sciences

Comments

Presented at the 2026 Fall Meeting of the Association of Program Directors in Internal Medicine (APDIM).

You Can’t Spell Remediation Without AI: Generative AI Across the Resident Remediation Cycle

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