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Retrieving Evidence from EHRs with LLMs: Possibilities and Challenges
March 5, 2024, 2:53 p.m. | Hiba Ahsan, Denis Jered McInerney, Jisoo Kim, Christopher Potter, Geoffrey Young, Silvio Amir, Byron C. Wallace
cs.CL updates on arXiv.org arxiv.org
Abstract: Unstructured data in Electronic Health Records (EHRs) often contains critical information -- complementary to imaging -- that could inform radiologists' diagnoses. But the large volume of notes often associated with patients together with time constraints renders manually identifying relevant evidence practically infeasible. In this work we propose and evaluate a zero-shot strategy for using LLMs as a mechanism to efficiently retrieve and summarize unstructured evidence in patient EHR relevant to a given query. Our method …
abstract arxiv challenges constraints cs.cl data electronic electronic health records evidence health imaging information llms notes patients records together type unstructured unstructured data work
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