From Structured Records to Patient Narratives: Preserving Clinical Alignment in LLM-Generated Health Summaries
Paper recorded by Signals 4 on 2026-10-22 in cs.CL. Abstract reproduced from arXiv; link to the original below.
Published 2026-10-22 on arXiv · recorded by Signals 4 on 2026-10-23
Category: cs.CL · 自然语言处理 · first seen 2026-10-23
Abstract
As wearable and digital health systems increasingly generate longitudinal physiological records, communicating these observations in patient-accessible language remains a significant challenge. Large Language Models (LLMs) offer a promising mechanism for translating structured clinical information into readable narratives, but this process may introduce semantic drift, where clinically precise mea
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Cite this page: From Structured Records to Patient Narratives: Preserving Clinical Alignment in LLM-Generated Health Summaries: the #170 most recent of 660 cs.CL papers we have recorded (as of 2026-10-22). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/from-structured-records-to-patient-narratives-preserving-clinical-alignment-in-l.html
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