Synthesis and Evaluation of Long-term History-aware Medical Dialogue

An effective healthcare agent must be able to recall and reason over a patient's longitudinal medical history. However, the absence of datasets with realistic long-term dialogue timelines limits systematic evaluation. Real clinical text is constrained by privacy and ethics, while existing benchmarks focus on isolated interactions, failing to capture cross-session reasoning. We introduce a framework for synthesizing high-quality, long-term medical dialogues with LLMs. Our approach entails a knowl

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ethics.ai (19 May 2026), “Synthesis and Evaluation of Long-term History-aware Medical Dialogue,” evidence record 4025, https://ethics.ai/record/4025 (originally published by arXiv).

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