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Ishani Barai on Muck Rack

Ishani Barai

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Articles

Developing a scalable pipeline for data extraction from clinical letters through resource-efficient prompt engineering

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By Ariel Yuhan Ong, Quang Nguyen, Justin Engelmann, Fares Antaki, Mertcan Sevgi, David A. Merle, Lie Ju, Eliot R. Dow, Yukun Zhou, Gregory Maniatopoulos, Yemisi Takwoingi, Alastair K Denniston, Pearse A. Keane, Ishani Barai
| Nature Verified
Abstract Free-text clinical records represent an untapped wealth of data for secondary use, but realising their potential is limited by resource demands necessary for accurate information extraction at scale. We introduce a scalable, resource-efficient, and high-performance information extraction pipeline that leverages large language models (LLMs) to address these challenges.
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