Teaching With AI-Supported Scenarios

Interactive scenarios give students a place to practice making healthcare management decisions and think through the consequences of their choices. This presentation describes how AI was used to develop these experiences for undergraduate and graduate health administration courses. Examples from a faculty teaching toolkit include addressing patient wait times in a family clinic and evaluating AI-supported scheduling across a network of healthcare sites. The examples show how the scope of a problem, the available evidence, and the uncertainty surrounding a decision can differ by course level. The presentation walks through the development process, including how AI helped create dialogue, feedback, and media to bring the scenarios to life. It also addresses the work involved in making those pieces fit together, from checking facts and maintaining consistent characters to testing decision paths and revising feedback. Throughout the process, faculty determine what students need to learn and how the scenario will support that learning. The presentation shares practical lessons for faculty interested in developing similar experiences in their own courses.