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Micro-Credential: Promoting Critical Thinking
Micro-Credential: Promoting Critical Thinking
Micro-Credential: Facilitating Small Group Learning
Micro-Credential: Facilitating Small Group Learning
Micro-Credential: Promoting an Inclusive and Humanistic Learning Environment
Micro-Credential: Promoting an Inclusive and Humanistic Learning Environment
Micro-Credential:Developing a Teaching Philosophy
Micro-Credential:Developing a Teaching Philosophy
Micro-Credential: Technology Integration in Didactic Teaching
Micro-Credential: Technology Integration in Didactic Teaching
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Academic & Administrative Affairs

AA-001 - Beyond Traditional Metrics: Embracing Holistic Assessment in Resident Selection

Saturday, March 8, 2025
11:00 AM - 12:00 PM EST
Location: Chesapeake 7&8, Ballroom Level
CE: 1
Early Career Professional Mid Career Professional Senior Career Professional Micro-Credential: Promoting an Inclusive and Humanistic Learning Environment
Keyword: Admissions (AA)
SoTLFest Designation: No
LIAA Designation: No
Resident selection is a fundamental component of every residency program. To identify future leaders, it is essential to assess not only academic performance but also non-academic traits like emotional maturity, compassion and resilience. Residents require empathy, strong communication skills and emotional intelligence to excel in complex patient interactions and thrive in clinical practice and daily life. This presentation delves into national residency interview frameworks, tools and best practices for evaluating non-academic characteristics. It highlights structured interviews, standardized patient encounters and the role of artificial intelligence-based psychometric assessments in enhancing resident selection.

Learning Objectives:

  • Examine various residency interview formats used across different programs, highlighting their strengths and limitations.
  • Identify the best practices for assessing psychosocial characteristics of residency applicants.
  • Recognize the potential benefits and challenges of integrating AI-based psychometric assessments into selection processes.