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Two-Stage Local LLM Pipeline for Medical CRF Filling Tackles EHR Extraction Challenges
A new two-stage local LLM pipeline addresses the extraction of structured clinical data from unstructured EHR notes for the CL4Health 2026 CRF filling task. This approach aims to reduce privacy risks, inference costs, and hallucinations common in deploying large language models in clinical settings.
Extracting accurate clinical information from EHRs is critical for healthcare informatics but is complicated by privacy and reliability issues with existing LLMs. A local pipeline could enable safer and more cost-effective use of LLMs in medical data processing.
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Score 60
Source Type arxiv
Reposts 0
Topic Quality 51
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