Flatiron Health Redefines Real-World Evidence: Pioneering Scientific Innovations Move Beyond 'What Is' to Uncover 'Why' and Predict 'What Will Be'
Company announces first-of-their-kind advances in LLM-extracted progression data, data quality frameworks, and harmonized multinational datasets transform cancer research capabilities.
These innovations support Flatiron's vision of building the world's most comprehensive oncology dataset, now encompassing more than five million patient records and 1.5 billion datapoints available for research, figures that will continue to grow dramatically as the company expands their global data network, scales technology, and deepens global partnerships. These innovations have also addressed limitations that have constrained cancer research for decades: the labor-intensive nature of progression abstraction, the lack of standardized quality frameworks for data, and the impossibility of harmonizing fragmented healthcare data across borders. Together, these capabilities unlock new research questions and enable predictive modeling that addresses the ‘why’ and ‘what will be’ needed to shift cancer research from reactive analysis to proactive insight generation.
“While the industry talks about the potential of AI in healthcare, we're delivering the reality,” said
Flatiron’s ability to extract real-world progression for patients across all major solid tumors addresses one of oncology's most critical data challenges. Progression is an essential event to understanding a cancer patient's journey, yet has been prohibitively time-consuming and laborious to abstract at scale. Using large language models, Flatiron has unlocked real-world progression at a scale not previously available, enabling researchers to answer entirely new categories of questions about treatment effectiveness and patient outcomes across tumor types including but not limited to lung, breast, ovarian, and prostate cancers.
The company's Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework data quality framework establishes the industry's first comprehensive approach to evaluating AI-extracted real-world data quality. This rigorous framework examines performance metrics, data usability, and the ability to replicate expected findings, with a key component being benchmarking performance against expert human abstraction. The framework ensures that AI-extracted insights meet the gold standard required for regulatory and clinical decision-making.
Flatiron's harmonized multinational real-world datasets solve the previously "impossible problem" of cross-border data integration. By harmonizing data across the
“Flatiron’s scientific innovation is built on the strength of our proven methodological expertise,” said
The company continues to serve as an active thought partner to life sciences customers, developing solutions that anticipate and answer their next critical research questions before they know to ask them. Flatiron will be presenting research demonstrating these capabilities at upcoming major oncology conferences, showcasing how understanding the "why" and predicting the "what will be" is already transforming approaches to cancer care and research.
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