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HomeWebinarsTeaching patient management in the age of AI

Beyond diagnosis:  Teaching patient management in the age of AI

As AI advances diagnostic capability, the critical skill for clinicians is deciding how to test and treat patients in context. Learn how educators can intentionally teach and assess patient management reasoning across residency training and clinical education.

April 13, 2026 at 12:00 PM EST

Live

60 minutes including Q&A

Andrew S. Parsons, MD, MPH

Associate Professor Hospital Medicine | Associate Dean Clinical Competency

Ben Muller, MD

Chief Content Officer

Note: This webinar requires Zoom authentication. Please register with the email address tied to your Zoom account to ensure you can join without issues.

Webinar overview

A patient meets clear guideline criteria for a recommended therapy. An AI tool flags the evidence-based next step. Yet contextual factors — comorbidities, cost, competing priorities, patient preferences — complicate the decision. When is the "right" treatment the wrong treatment? When is the next test not worth ordering? When does a finding need monitoring, and when does watching it do more harm than good?

As AI systems approach and in some domains exceed human diagnostic performance, the educational conversation must shift. Diagnosis is increasingly something AI can do and in some cases do better. What remains distinctly human is deciding how to test and treat a particular patient in their specific context: translating evidence into action for an individual, with their values, their circumstances, and what matters most to them. 

In this session, Andrew S. Parsons, MD, MPH, Associate Professor of Medicine and Associate Dean for Clinical Competency at the University of Virginia School of Medicine, will draw on his research with trainees to examine how management reasoning develops — and why it has been so underemphasized in medical education. He will discuss structured approaches to teaching and assessing management reasoning across the continuum, and explore how AI can serve as a partner in this work rather than a replacement for it.

What you'll learn

Differentiate management reasoning from diagnostic reasoning and explain why this distinction is increasingly consequential as AI reshapes clinical practice.

Describe how trainees develop management reasoning and identify opportunities to make that development more intentional.

Apply structured approaches to teaching and assessing management reasoning, including how AI tools can provide support.

Register now

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.

Andrew S. Parsons, MD, MPH
Associate Professor Hospital Medicine | Associate Dean Clinical Competency

Andrew S. Parsons, MD, MPH is an Associate Professor of Medicine in the Division of Hospital Medicine and Associate Dean for Clinical Competency at the University of Virginia (UVA) School of Medicine. He completed medical school at East Tennessee State University, internal medicine residency at UVA, and an MPH at Emory University. His scholarship focuses on clinical reasoning, with particular emphasis on management reasoning and coaching to support learner development. He serves as PI of the Clinical Reasoning Research Collaborative at UVA, site lead for the ARISE research network studying real-world applications of AI, and associate editor for the journal Diagnosis. Dr. Parsons is the author of “Clinical Reasoning: Coaching the Struggling Medical Learner” and a PhD candidate in Health Professions Education at Maastricht University in the Netherlands.

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.

Secure your spot today

Join us for this interactive webinar and gain practical strategies to elevate diagnostic reasoning in your practice or teaching

Note: This webinar requires Zoom authentication. Please register with the email address tied to your Zoom account to ensure you can join without issues.