Summary:
This session introduces the Connected Learning Engine, a strategic framework integrating three transformative pillars: competency-based learning (The Map), verifiable digital credentials (The Wallet), and agentic AI-powered mentorship (The Engine). Attendees will explore how competency frameworks define what “good looks like” across clinical roles, enabling ability-based progression and precision workforce planning. They’ll see how digital credential wallets make professional growth visible, portable, and trustworthy. And they’ll learn how AI-powered “Digital Twins” can leverage real clinical case data to deliver personalized mentorship at scale. Importantly, this approach turns everyday clinical cases into personalized learning opportunities—helping technicians identify skill gaps, improve patient care, and grow their competencies directly within their daily workflow.
Through real-world case studies, supporting evidence, and a clear roadmap from proof-of-concept to enterprise deployment, this session demonstrates how these three systems create a virtuous learning cycle: clinical work generates data, AI identifies gaps, learning closes them, and credentials prove it. Attendees will leave with a practical understanding of how to move from traditional CE models toward a connected, competency-driven learning ecosystem—and why the time to start is now.
Learning Objectives:
- Recognize how a connected learning system can support both individual growth and improved patient care
- Describe how competency-based frameworks define clear, role-specific clinical expectations
- Explain how digital credentials can make skills and career progression visible and portable
- Understand how AI can identify learning opportunities from real clinical cases
- Identify practical ways to integrate case-based learning into daily clinical workflows
Presented by Patrick Welch, DVM, MBA, DACVO
Sponsored by Ethos
*RACE-Approval Pending
