Researchprompt engineeringmedical summarizationclinical nlp
Human-Centered Prompt Engineering Framework Guides Clinical Summaries
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Relevance Score
Mieke Deschepper and colleagues at Ghent University Hospital (2026) develop a human-centered framework for creating individualized prompts to guide large language models in summarizing medical discharge letters. They ran a workshop with 26 clinicians that generated 170 ideas and a 110-item questionnaire completed by 33 participants, producing CO-STAR–refined, role-specific prompts emphasizing follow-up, medical history, and structure. The pipeline is design-focused and requires empirical validation before clinical deployment.


