Abstract After redesigning the curriculum of the pediatric pulmonology fellowship program at Children’s Mercy—Kansas City, leadership continued to make changes based on feedback from a faculty survey concerned about the quality and structure of didactics. These changes included leveraging generative artificial intelligence (AI) to create a detailed course content outline containing specific objectives and study points for each subject related to pediatric pulmonology. Using the content outline as a foundational reference for learners, fellowship leadership continues to enhance the curriculum by creating testing questions, flipped classroom sessions and evaluations, and hope that these specific changes will help address decreased passing rates on board certifying exams.
Singh et al. (Fri,) studied this question.