Flatiron Health
Real answers to guide oncology's highest-stakes decisions with AI-powered real-world evidence
Key strengths
Technical Overview & Integration
Data Ingestion & Curation Flatiron's platform ingests real-world clinical data directly at the source—primarily from electronic health record (EHR) systems used in oncology practices. Proprietary NLP and ML pipelines extract structured insights from free-text clinical notes, pathology reports, and biomarker results, then normalize them against standardized oncology ontologies.
AI & ML Models
- LLMs are used for thematic analysis of clinical trial literature and summarization of real-world evidence (e.g., ASCO 2026 abstract on LLM-based analysis of landmark trial discussions).
- Predictive ML models identify patterns such as rapid disease progression in specific cancer populations (e.g., HR+/HER2- metastatic breast cancer with CDK 4/6 inhibitors).
Flatiron Telescope Platform The newest AI platform provides on-demand oncology insights. Designed for speed, it reduces insight generation from months to minutes by combining curated RWD with AI inference layers.
API & Data Access Flatiron provides programmatic data access for life sciences partners through structured datasets and analytics environments. Integration touchpoints include clinical trial matching platforms, regulatory submission workflows, and health technology assessment tools. Contact Flatiron directly for API documentation, data dictionaries, and partner onboarding specifications.
