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Large language models for data extraction from unstructured and semi-structured electronic health records: a multiple model performance evaluation
40
Zitationen
8
Autoren
2025
Jahr
Abstract
Claude 3.0 Opus, Claude 3.0 Sonnet, Claude 2.0, GPT 4, Claude 2.1, Gemini Advanced, PaLM 2 chat-bison and Llama 3-70b seem to be able to reliably extract data from unstructured and semi-structured electronic health records. Further analyses using real data are warranted to confirm their performance in a real-world setting.
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