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HomeWebinarsResponsible AI after ACCME’s 2026 guidance: one expert-built approach

Responsible AI after ACCME’s 2026 guidance: one expert-built approach

How DDx builds, tests and monitors AI-enabled cases

November 19, 2026

12:00 PM ET | 9:00 AM PT

45 minutes

Ben Muller, MD
Ben Muller, MD

Chief Content Officer at DDx by Sketchy

Adam Grey
Adam Grey

Head of Strategy and Partnerships at DDx by Sketchy

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

In 2026, the Accreditation Council for Continuing Medical Education (ACCME) issued three statements addressing the responsible use of AI in accredited continuing education. Together, they reinforce the importance of human oversight, content validity, transparency, and accountability, including the responsibility of accredited providers for learner-facing content.

For organizations developing or delivering AI-enabled clinical education, these statements raise important questions: How is clinical content developed and validated? What safeguards guide AI-generated interactions? And how are accuracy and quality maintained over time?

Join DDx by Sketchy for a practical look at one approach to responsible AI-enabled clinical education. We'll briefly review ACCME's three 2026 statements, then take you through techniques that meet the requirements of the three statements, illustrated by DDx’s content creation and monitoring process.

Through a live demonstration, you'll see how clinician-defined content and guardrails can shape AI interactions, how expert-developed rubrics can guide assessment, and how transparency, privacy, and ongoing review can be properly incorporated into AI-assisted CME content.

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Disclaimer: This session shares DDx's approach to building and reviewing AI-enabled cases. It is not guidance on ACCME accreditation requirements. Providers should consult ACCME or their accreditor on how the guidance applies to their activities.

What you'll learn

Summarize the key considerations outlined in ACCME's three 2026 statements on AI in accredited continuing education, including human oversight, content validity, transparency, and accountability.

Explain how DDx develops and validates AI-enabled clinical cases through expert-led content creation, structured review, and testing.

Describe how clinician-defined guardrails, expert-developed scoring rubrics, and transparency and privacy practices guide AI-enabled interactions and assessment within DDx.

Identify key questions to consider when evaluating AI-enabled clinical education content, including safeguards, vendor accountability, and continuous quality monitoring.

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Meet your expert speakers

Ben Muller, MD
Ben Muller, MD
Chief Content Officer at DDx by Sketchy

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.

Adam Grey
Adam Grey
Head of Strategy and Partnerships at DDx by Sketchy

Adam Grey is the Head of Strategy and Partnerships at Sketchy. He plans, facilitates, and executes projects and co-developed offerings with Sketchy’s closest organizational partners, especially in continuing education and workforce training. Before his work in strategic partnerships, Adam was a test prep educator, leading the production and launch of Sketchy’s MCAT offering.

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.

Secure your spot today

Join us for a practical look at ACCME’s 2026 AI statements and explore techniques for responsible AI-enabled CME content development, assessment, and ongoing monitoring, illustrated through DDx’s approach.

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