The Dawn of AI in Medical Education

In this webinar, we will be discussing the use of large language models (LLMs) to automate medical student OSCE note grading.

Learning Objectives

Describe the time and cost implications of traditional OSCE note grading and how LLMs can streamline the process.
Compare the grading accuracy of an LLM-based system with traditional human grading methods by analyzing performance data from real-world OSCE note evaluations.
Outline the key components of an LLM-powered OSCE grading pipeline, including student note input, rubric integration, and automated scoring output, and discuss potential limitations and areas for improvement.
Identify opportunities to integrate LLMs into their own educational and clinical workflows by examining the OSCE grading project as a model for innovation in emergency medicine education.

Moderators/Panelists

Christopher J. Nash, MD, MEd

Assistant Professor, Emergency Medicine

Duke University Hospital

Christopher J. Nash, MD, MEd, is an assistant professor and core faculty in the department of emergency medicine (EM) at Duke University. He completed a fellowship in medical education at Mass General and pursued additional training through the SAEM ARMED MedEd program. He previously served as a Fellow Editor-in-Training for AEM Education & Training and is currently a fellow in the NBME SEEF program. His work focuses on the intersection of technology, education, and innovation, leveraging AI, simulation, and emerging digital tools to enhance clinical training and assessment. He leads several innovative research initiatives that bridge academic theory with frontline practice.
Tama Thé, MD

Assistant Professor, Pediatric Emergency Medicine

University of Kentucky
Tama Thé, MD, is an assistant professor of pediatric emergency medicine at the University of Kentucky. He is fellowship-trained in point-of-care ultrasound and serves as the pediatric emergency ultrasound director. He is a third-year clinical medicine course director, course director for the fourth-year emergency ultrasound elective, and host of The MDM, a podcast about the ways medicine is adapting to the modern world.

Event Information

May 7, 2025 2:00 PM to 3:00 PM (Central Daylight Time)

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