Ensuring Reliability of Curated Electronic Health Record-Derived Data: The Validation of Accuracy for Large Language Model-/Machine Learning-Extracted Information and Data (VALID) Framework
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Large language models (LLMs) are increasingly used to extract clinical data from electronic health records, offering significant improvements in scalability and efficiency for real-world data (RWD) curation in oncology. However, the adoption of LLMs introduces... ...
