University IT
Tech Talk - The Future of MedEd: Discover the Possibilities
The Future of MedEd: Discover the Possibilities
Artificial intelligence and emerging technologies are transforming how we teach and learn in medicine. Join us for The Future of MedEd, a forward-looking Tech Talk that explores what every medical educator needs to know to thrive in the next 3–5 years.
This engaging session will highlight key trends in medical education, the growing impact of AI, and practical steps you can take today to shape a preferred future for healthcare teaching and learning.
- Discover how volatility, uncertainty, complexity, and ambiguity (VUCA) impacts medical education
- Explore AI’s evolving role, from risks and ethics to opportunities for innovation
- Gain a futurist mindset to prepare for rapid change and design better learning experiences
- Discover tools and use cases (e.g., OpenEvidence and Clinical Mind AI) that support new teaching approaches
- Share your top requests for AI in MedEd training topics to influence the direction of future UIT Tech Trainings
We invite you to explore cutting-edge tools and applications that are transforming how healthcare professionals teach, learn, and grow. This session offers a glimpse into the future of medical education—where technology and innovation intersect to elevate learning.
Attendees will leave inspired and curious about emerging technologies, with a clearer understanding of their potential benefits and challenges, practical strategies to actively shape the future of healthcare education, and ways to get involved. This Tech Talk is just the beginning of Educational Technology and UIT's ongoing efforts to support the Stanford Medicine community in navigating the opportunities and challenges AI presents.
Presenters:
Tela Vessa is a curriculum designer and educational technologist with over 7 years of experience in health professions education focusing on technology-enabled teaching and learning. With a Human Physiology undergraduate degree and a Master’s in Digital Learning, Tela designs, implements, and scales learner‑centered curricula that blend evidence-based pedagogy with emerging digital tools to prepare clinicians for a rapidly evolving healthcare landscape.
Dr. John Keppler currently leads the Technology Training program at Stanford University, overseeing the end-to-end design, development, and delivery of transformative AI training workshops. He focuses on creating highly interactive learning experiences that go beyond traditional instruction, enabling deep, practical engagement with advanced artificial intelligence concepts and tools for the Stanford community and professionals worldwide.
William Bottini is an experienced creative designer and product leader specializing in emerging technology, art, writing, and video. He is the Senior Manager of Stanford Medicine’s Learning Innovation Futurist Team (LIFT) and Creative Director for the Educational Technology team, with 15+ years of experience in product design, content production, and directing. He is driven by high craft and meaningful impact—building tools and experiences that empower others through collaborative, human-centered design shaped by philosophy, humor, and storytelling. At Stanford, he has directed courses reaching 1.5M+ learners and worked to raise the bar on what it means to make excellent learning experiences.
Upcoming Workshops:
Custom training workshops are available for this program
Technology training sessions structured around individual or group learning objectives. Learn more about custom training.
Special Group Rates
For groups of 5 or more, special rates are available. Please contact techtraining@stanford.edu for more details.
University IT Technology Training sessions are available to a wide range of participants, including Stanford University staff, faculty, students, and employees of Stanford Hospitals & Clinics, such as Stanford Health Care, Stanford Health Care Tri-Valley, Stanford Medicine Partners, and Stanford Medicine Children's Health.
Additionally, some of these programs are open to interested individuals not affiliated with Stanford, allowing for broader community engagement and learning opportunities.
