Beyond the Numbers: Using AI to Support ACGME Survey Analysis
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 support...