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A Scalable Method for Validated Data Extraction from Electronic Health Records with Large Language Models
2025-02-26
health informatics
Title + abstract only
View on medRxiv
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PurposeExtracting and structuring relevant clinical information from electronic health records (EHRs) remains a challenge due to the heterogeneity of systems, documents, and documentation practices. Large Language Models (LLMs) provide an approach to processing semi-structured and unstructured EHR data, enabling classification, extraction, and standardization. MethodsMedical documents are processed through a structured data pipeline to generate normalized FHIR data. Unstructured data undergoes ...
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