Flatiron Health Publishes First Peer-Reviewed Validation Framework for AI-Extracted Real-World Oncology Data in Journal of Clinical Oncology
ROCHE HOLDING LTD S/ADR (RHHBY)
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Source: Business Wire
Three-pillar framework sets methodological benchmark for data quality and transparency in oncology data NEW YORK--(BUSINESS WIRE)--Flatiron Health today announced the publication of the Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework in the Journal of Clinical Oncology Clinical Cancer Informatics. The framework represents the first and most comprehensive, peer-reviewed approach to evaluating the quality and reliability of real-world data extracted by large language models (LLMs) and machine learning—setting a methodological benchmark for data integrity in oncology research.As large language models emerge as a tool for clinical data extraction from sources such as electronic health records, the industry faces a tradeoff—AI can unlock speed and scale, but it requires rigorous validation. Flatiron’s VALID Framework makes real-world data quality transparent and measurable, enabling evidence that meets the bar for high-stakes clinical decisions. Specif
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