
Introducing the 2025 Healthcare AI Bootcamp
Join us for the 2025 Healthcare AI Boot Camp, a national initiative led by a group of federally funded Telehealth Resource Centers from across the country, a Telehealth Center of Excellence along with additional regional partners.
This foundational training is designed to equip participants with a clear understanding of core AI concepts and their practical applications in healthcare, setting the stage for engagement with real-world challenges. This pivotal series brings together clinicians, operational leaders, technologists, and pioneering voices in healthcare AI to explore key concepts, develop practical skills, and align innovations with the urgent needs of our healthcare system. Participants will leave with the knowledge and confidence to launch or advance their AI journey, ready to drive meaningful impact in their organizations and communities.
SESSION 1 - "Foundations: What is AI?"
June 25, 2025 | Virtual Session
Kickstart your AI journey! Join Session 1 of the Healthcare AI Bootcamp to explore the fundamentals of artificial intelligence, its role in healthcare, and how it’s shaping the future. Featuring speakers Elizabeth Krupinski, PhD and Jordan Berg, this complimentary session is a must for anyone looking to understand AI’s impact.

SESSION 2 - "AI Applications in Healthcare"
July 23, 2025 | Virtual Session
AI is transforming healthcare—are you ready? Session 2 of the Healthcare AI Bootcamp dives into real-world AI applications, from diagnostics to patient care, while tackling key ethical and regulatory considerations.

SESSIONS 3-6 - Diving Deeper for Individual Mastery
August 12, 2025 | Hybrid
Join us for an immersive, full-day experience exploring the future of AI in healthcare! Sessions 3-6 of the Healthcare AI Bootcamp will guide attendees through AI’s broader landscape, risk management strategies, regulatory insights, and actionable next steps for becoming an AI ambassador in healthcare.
What to Expect:
- Understanding the evolving AI landscape and its implications
- Identifying risks throughout the AI lifecycle
- Navigating regulatory and legal considerations for healthcare AI
- Gaining tools to advocate for responsible AI use



