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• AI prompts for clinical questions: Evaluating information literacy frameworks in health sciences education

  • When
    03/24/2026
  •  
    12:00 PM - 12:30 PM
  • Location
    https://weillcornell.zoom.us/meeting/register/y8aFQyzGQNSHCF2F78h-gw

  This exploratory study evaluates evidence-based AI information literacy strategies for health sciences professionals by comparing two prompt engineering frameworks: the CLEAR (Concise, Logical, Explicit, Adaptive, and Reflective) framework and the PICO (Population/Patient/Problem, Intervention, Comparison/Control, and Outcome) model. Nineteen fourth-year medical students participated in a crossover-design study involving three instructional sessions on using an AI-assisted interdisciplinary database to respond to patient-care scenarios.
  
  Dr. Hsinliang (Oliver) Chen serves as Chief Library Services Officer at the Philadelphia College of Osteopathic Medicine (PCOM). He earned his Ph.D. in Library and Information Science from the University of Pittsburgh in 1999 and an M.A. in Educational Communication and Technology from New York University in 1995. His research interests include open and citizen science, scholarly communication, human–computer interaction, and research data management.

  
  

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