AI RESEARCH
Retrieval-Augmented Generation Based Nurse Observation Extraction
arXiv CS.CL
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ArXi:2603.26046v1 Announce Type: new Recent advancements in Large Language Models (LLMs) have played a significant role in reducing human workload across various domains, a trend that is increasingly extending into the medical field. In this paper, we propose an automated pipeline designed to alleviate the burden on nurses by automatically extracting clinical observations from nurse dictations. To ensure accurate extraction, we