Article
General-purpose large language models can achieve physician-level accuracy in complex medical data extraction
2026-06-10
Abstract excerpt
<h4>ABSTRACT</h4> <h4>Background</h4> Unstructured data represent about 80% of total electronic health records (EHR) data. Structuring this free text is essential for advancing clinical research, including cohort selection for trials, retrospective studies, and the development of disease registries. While manual chart review (MCR) remains the gold standard for extracting this clinical data, the process is inhere...
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Identifiers and source
- Literature Corpus work
- 5ca311fd-5515-59d0-9e99-1bc14a867d62
- DOI
- 10.64898/2026.06.06.26354838
