From Discharge Notes to Patient Understanding: Persona-Grounded, Open-Ended Simulation of LLMs as Discharge Educators
Bridging the gap between clinical documentation and patient literacy through adaptive, persona-driven LLM simulations.
Hospital discharge education is an interactive teaching task: a clinician adapts a discharge plan to a patient's literacy, recall, and personality. Existing LLM evaluations target static or artifact-generation tasks and do not measure patient understanding under open-ended dialog...
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This research shifts the focus of clinical AI from merely generating documents to simulating the nuanced, adaptive interpersonal dynamics required for patient education. By grounding LLMs in specific personas, it demonstrates a practical pathway for bridging the critical communication gap between hospital discharge instructions and actual patient comprehension.
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