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Socially Grounded Exemplars Improve Synthetic Conversations for Health-Related Social Needs Navigation

2026-02-02 health informatics Title + abstract only
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Health-Related Social Needs (HRSNs) significantly impact health outcomes, yet traditional care often fails to address them effectively. While conversational agents offer scalable support, their deployment is hindered by privacy risks and a lack of specialized training data for clinical applications. Synthetic data generation offers a solution to address this gap; standard pipelines often prompt LLMs using structured user personas, comprising demographics, constraints, and goals, to emulate dialo...

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