The practice of designing the instructions given to a Large Language Model so that it produces reliable, well-structured output. Clinical prompts typically constrain scope, require sourcing, and specify output format; small changes in prompt wording can alter model behaviour materially, which matters for the validation of LLM-based tools.
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