Generative artificial intelligence is rapidly transforming health professions education, research, and clinical care. As GenAI tools, policies, and institutional initiatives emerge across UMass Chan Medical School and UMass Memorial Health, faculty and learners need shared guidance and collaborative space to use these technologies responsibly, effectively, and in alignment with our educational mission. This Collaborative exists to ensure GenAI adoption is coordinated, ethical, and grounded in high‑quality teaching and learning.

What We Do

• Identify gaps and share educational resources and best practices
• Develop and test high‑value GenAI use cases for education and clinical practice
• Support faculty innovation, curricula, and scholarly work
• Convene ongoing dialogue around policy, ethics, and institutional initiatives
• Align GenAI competencies across UME, GME, and CME

Who It’s For / Who’s Involved Faculty, learners, clinicians, instructional leaders, and technologists from all three UMass Chan schools and UMass Memorial Health.

How We Work

• Interprofessional collaboration across schools and training levels
• Community of practice focused on real‑world use cases
• Shared resource development and institutional alignment

When & Where A year‑long collaborative with activities spanning education, clinical practice, and institutional initiatives across UMass Chan and UMass Memorial Health.

Impact This work strengthens interprofessional educational leadership and supports the responsible integration of GenAI across the health professions and biomedical education—advancing the missions of HEALL and UMass Chan.