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Robert Joseph Gallo

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Clinical entity augmented retrieval for clinical information extraction - npj Digital Medicine

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By Ivan Lopez, Ivan López Verified, Akshay Swaminathan, Stephen P. Ma, Nigam H. Shah, Robert Joseph Gallo
| Nature Verified
Abstract Large language models (LLMs) with retrieval-augmented generation (RAG) have improved information extraction over previous methods, yet their reliance on embeddings often leads to inefficient retrieval. We introduce CLinical Entity Augmented Retrieval (CLEAR), a RAG pipeline that retrieves information using entities. We compared CLEAR to embedding RAG and full-note approaches for extracting 18 variables using six LLMs across 20,000 clinical notes.
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