Article

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

2026-03-10

Abstract excerpt

<title>Abstract</title> <p>Free-text clinical records represent an untapped wealth of data for secondary use. Their potential is limited by resource demands necessary for accurate information extraction at scale. We introduce a scalable, resource-efficient, and high-performance pipeline which leverages large language models (LLMs) to address these challenges. This was developed and tested using real-world dual sp...

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Literature Corpus work: 28ba8578-3ef8-5efe-b90e-80d00aca4848
DOI: 10.21203/rs.3.rs-8921439/v1

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