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Teaching clinical reasoning in the age of generative AI

Join Verity Schaye, MD, MHPE, Associate Professor of Medicine at NYU Grossman School of Medicine, as she presents practical frameworks and evidence-based strategies to ensure AI augments, rather than undermines, clinical reasoning education, from curriculum design to bedside teaching.

Originally aired:

March 9, 2026

Recording

60 minutes

Verity Schaye, MD, MHPE
Verity Schaye, MD, MHPE

Assistant Dean for Education at NYU Grossman School of Medicine

Ben Muller, MD
Ben Muller, MD

Chief Content Officer

Webinar overview

Despite a decade of curricula grounded in evidence-based strategies to teach clinical reasoning, diagnostic error remains a major cause of patient harm. Generative AI is creating a fundamental shift in how clinicians reason through diagnosis and management decisions. Human-AI collaboration in the clinical reasoning process has the potential to improve outcomes when integrated with the proper training, but inappropriate use can worsen patient care and lead to clinician deskilling.

Join Verity Schaye, MD, MHPE, Associate Professor of Medicine at NYU Grossman School of Medicine, as she presents practical frameworks and evidence-based strategies to ensure AI augments, rather than undermines, clinical reasoning education, from curriculum design to bedside teaching.

What you'll learn

Recognize the impact of diagnostic errors and strategies to teach clinical reasoning

Identify how artificial intelligence will transform how we teach clinical reasoning

List next steps of implementing artificial intelligence into teaching of clinical reasoning

Webinar recording

Meet your expert speakers

Dr. Sarah Mitchell, MD, FACP
Professor of Internal Medicine, Johns Hopkins University School of Medicine

Dr. Mitchell is a nationally recognized expert in clinical reasoning and diagnostic error prevention. She serves as Director of Clinical Skills Education at Johns Hopkins and has published extensively on cognitive bias mitigation and diagnostic safety. Her research focuses on improving diagnostic accuracy through structured reasoning frameworks and simulation-based training.

Dr. Raj Kumar, MD, MPH
Associate Dean for Clinical Education, Stanford University School of Medicine

Dr. Kumar leads Stanford's clinical reasoning curriculum and oversees assessment innovation across all clinical clerkships. He is a pioneer in integrating AI-enhanced simulation into medical education and has received multiple teaching awards for his work developing competency-based assessment frameworks. His expertise spans internal medicine, medical education, and healthcare quality improvement.

Dr. Sarah Mitchell, MD, FACP
Professor of Internal Medicine, Johns Hopkins University School of Medicine

Dr. Mitchell is a nationally recognized expert in clinical reasoning and diagnostic error prevention. She serves as Director of Clinical Skills Education at Johns Hopkins and has published extensively on cognitive bias mitigation and diagnostic safety. Her research focuses on improving diagnostic accuracy through structured reasoning frameworks and simulation-based training.

Verity Schaye, MD, MHPE
Verity Schaye, MD, MHPE
Assistant Dean for Education at NYU Grossman School of Medicine

Verity Schaye, MD, MHPE is an associate professor of medicine at NYU Grossman School of Medicine where she practices as a hospitalist at Bellevue Hospital. In the medical school, she serves as the Assistant Dean for Education in the Clinical Sciences overseeing the clinical curriculum and assessment program. She also serves as the Assistant Director for Curricular Innovation in the Institute for Innovations in Medical Education at NYUGSoM focusing on integration of artificial intelligence in the teaching and assessment of clinical reasoning.

Ben Muller, MD
Ben Muller, MD
Chief Content Officer

Ben Muller, MD is the Chief Content Officer at Sketchy, overseeing content development across Sketchy's core learning platform and DDx by Sketchy. A Columbia-trained physician, Ben has spent over six years translating complex medical concepts into engaging, evidence-informed learning experiences — leading a multidisciplinary team of physicians, educators, and creatives dedicated to making medical education built for modern clinical practice.

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