P-1892. Morning Report 2.0: Unleashing AI for Interactive Progressive Case Discussions
Elizabeth W Covington, Amber M Martin, Courtney S Watts Alexander

TL;DR
A pharmacy course used AI to create interactive case discussions, improving students' critical thinking and perceptions of AI.
Contribution
A novel AI-driven progressive disclosure case activity was developed and tested in pharmacy education.
Findings
Student perception of AI improving critical thinking increased significantly after the activity.
Thematic analysis showed the activity enhanced patient work-up skills and collaboration.
Students reported occasional AI inaccuracies and limited case variety.
Abstract
A progressive disclosure case activity utilizing generative artificial intelligence (AI) was implemented within an experiential pharmacy course. Modeled after “morning report,” the activity utilized a generative AI prompt to generate sequential infectious disease patient case details upon prompting from the end user. Students engaged in a weekly interactive discussion to collaboratively complete the activity with student peers and a preceptor. This study aimed to assess the impact of the activity on pharmacy student utilization and perceptions of AI and critical thinking. An embedded mixed-methods pilot study was performed. Pre and post Qualtrics surveys measured quantitative and qualitative student feedback. Nominal data were assessed via Chi square or Fisher’s exact test using SPSS. Correlations were assessed via Pearson’s coefficient. Qualitative free-text survey responses were…
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Taxonomy
TopicsArtificial Intelligence in Healthcare and Education · Simulation-Based Education in Healthcare · Clinical Reasoning and Diagnostic Skills
