Reasoning-style prompts improve few-shot LLM extraction of OPQRST items from EHR notes, but the result rests on an 85-note single-annotator evaluation with an LLM judge.
Medical information extraction in the age of deep learning
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Extracting OPQRST in Electronic Health Records using Large Language Models with Reasoning
Reasoning-style prompts improve few-shot LLM extraction of OPQRST items from EHR notes, but the result rests on an 85-note single-annotator evaluation with an LLM judge.