From foundational concepts and ethical considerations to hands-on strategies for prompting, evaluating outputs, curriculum design, clinical education, and scholarly work, this series will equip participants with practical competencies for responsible and effective AI use. Led by experienced educators and thought leaders in medical education, each monthly session offers actionable insights and tools to help you integrate AI into your teaching, assessment, and professional development. Whether you're just getting started or looking to deepen your expertise, this series offers a supportive and structured path toward AI literacy and leadership.
How has the AI series impacted you?
Session 9: Preparing for AI Integration in Clinical Education
Thursday, January 15
1:00 - 2:00pm ET
Objectives:
- Describe the potential impact of AI on clinical practice and diagnostic reasoning including risk of deskilling, never skilling, and mis-skilling.
- Explore AI applications for clinical care and strategies for their use in clinical education including strategies to assess readiness and evaluate outcomes.
- Highlight ethical and practical considerations for the physician-patient and human-computer relationships.
- Identify how teachers can incorporate adaptive learning skills and reflective practice to support thoughtful and safe expansion of AI in clinical practice.
Speakers:
-
Larry Hurtubise, MA, PhD, Curriculum and Instruction Consultant, Michael V. Drake Institute for Teaching and Learning at The Ohio State University
-
Cynthia Ledford, MD, Medical Education Consultant
-
Dan McFarlane, MD, Associate Clinical Professor of Internal Medicine, The Ohio State University College of Medicine
-
Srinivasan Suresh, MD, MBA, FAAP, Director of Health Informatics and Professor, Pediatrics, University of Pittsburgh School of Medicine, Chief Medical Information Officer, UPMC Children's Hospital of Pittsburgh.
Session 10: Continuous Professional Development in AI: Building a Lifelong Learning Plan
Thursday, February 19
1:00 - 2:00pm ET
Objectives:
- Assess personal AI knowledge gaps and develop a learning plan.
- Explore and share AI-related resources for ongoing professional growth.
- Reflect on AI use in medical education and identify areas for further experimentation.
Previous Session Recordings
Session 1: Foundations of Skill-Building with Artificial Intelligence
View the Recording | Access Slides
Session 2: Prompting for Educators: Effective Communication with AI
View the Recording | Access Slides
Session 3: Evaluating AI Outputs: Ensuring Accuracy and Relevance
View the Recording | Access Slides
Session 4: AI for Efficiency and Automation
View the Recording | Access Slides
Session 5: Using AI with Data and Scholarship
View the Recording | Access Slides
Session 6: Developing AI Enhanced Curricula
View the Recording | Access Slides
Session 7: Personalizing Learning with AI
View the Recording | Access Slides