Blogs

ACGME Resident and Faculty Survey data provide valuable insight into the learning environment, program culture, and institutional performance. However, while the reports contain meaningful information, interpreting that data in a way that leads to actionable improvement can be time intensive, particularly during Annual Program Evaluation (APE) and annual reporting cycles. As AI tools continue to evolve, many GME leaders are beginning to explore how these technologies can su

Artificial Intelligence is rapidly becoming part of the healthcare conversation, not only in diagnostics and clinical decision-making, but also in how we train our future physicians. As GME leaders consider how AI might shape their programs, a recent article from the Journal of Graduate Medical Education offers a timely and structured way to begin that exploration: Could I, Would I, Should I? This framework encourages GME stakeholders to approach AI adoption with intention

Healthcare and academic medicine since its origin have experienced continual revolutionary changes—or, at the least, fundamental...