Flatiron Health
Real answers to guide oncology's highest-stakes decisions with AI-powered real-world evidence
Enterprise·All audiences·Powered by Proprietary (LLM + ML)·API available
Key strengths
High-fidelity oncology real-world data from millions of cancer patientsAI combined with human expertise for clinical and research insightsSupports 2,000+ peer-reviewed publicationsServes both life sciences and point-of-care clinical settingsPurpose-built AI platform (Flatiron Telescope) for rapid oncology insights
Enterprise pricing
New York, USA
Founded 2012
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Flatiron Health — Documentation & Data Infrastructure
Flatiron Health's data engine is built to support rigorous oncology research and evidence generation at scale. Developers and data scientists working within the Flatiron ecosystem can expect:
- Real-world data (RWD) at scale: Structured and curated datasets sourced from millions of cancer patient records, designed for analytical and regulatory use cases.
- AI + human curation pipeline: Machine learning models work alongside clinical experts to ensure data accuracy, completeness, and clinical relevance — reducing noise inherent in raw EHR and claims data.
- Evidence-grade outputs: Data assets have supported 2,000+ publications, demonstrating suitability for peer-reviewed research and regulatory-grade evidence generation.
- Ecosystem integrations: The platform is architected to deliver actionable insights across Life Sciences, Community Oncology, and Health System environments.
- Global reach: The oncology data engine operates at a global scale, enabling cross-market analyses and international evidence generation.
For specific API documentation, data dictionaries, or integration guides, contact Flatiron Health directly.
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