Integrating PICO principles into generative artificial intelligence prompt engineering to enhance information retrieval for medical librarians — Robinson et al. (2025)
Prompt engineering, an emergent discipline at the intersection of Generative Artificial Intelligence (GAI), library science, and user experience design, presents an opportunity to enhance the quality and precision of information retrieval. An innovative approach applies the widely understood PICO framework, traditionally used in evidence-based medicine, to the art of prompt engineering. This approach is illustrated using the “Task, Context, Example, Persona, Format, Tone” (TCEPFT) prompt framework as an example. TCEPFT lends itself to a systematic methodology by incorporating elements of task…
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