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The Art of Asking: Prompting AI for Clinical Practice
1From Kamangar Dermatology, Palo Alto, California.
Abstract:
The quality of AI-generated output depends largely on how effectively the user constructs the prompt. This article provides a practical framework for developing effective prompts for dermatology applications by outlining 5 core components: persona, task, context, format, and constraints. It also describes strategies to optimize interactions with AI, including iterative prompting, meta-prompting, voice-to-text input, and requesting clarifying questions before AI generates a response. By applying these prompting principles, dermatologists can improve the relevance and utility of AI-assisted outputs for clinical documentation, patient education, and administrative tasks while maintaining appropriate clinical oversight.
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