A. Y. Ong

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

This work introduces a scalable, resource-efficient, and high-performance information extraction pipeline that leverages large language models (LLMs) to address challenges of free-text clinical records and develops a multi-dimensional assessment for deployment in data extraction tasks.