SuperAPI AI Directory

Flatiron Health

Flatiron Health is a health technology company focused on the field of oncology, providing actionable insights for cancer research, clinical decision-making, and patient care by integrating real-world data with artificial intelligence technology. Its platform collects data directly from millions of cancer patients worldwide, combining human expertise to drive artificial intelligence, aiming to accelerate research answers, optimize treatment decisions, and improve patient outcomes. Its real-world data has supported more than 2,000 academic publications and has launched Panoramic datasets covering areas such as multiple myeloma, breast cancer, and non-small cell lung cancer, among which the breast cancer dataset has exceeded 1 million patients. The company's business covers the United States as well as international markets such as the United Kingdom, Germany, and Japan, and it actively participates in oncology industry conferences such as STAT Summit and ESMO Congress.

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About this tool

Flatiron Health is committed to transforming oncology practice through real-world data and artificial intelligence. Its core philosophy is to "learn from the experience of every cancer patient" in order to answer the toughest questions in oncology. The company combines high-fidelity data with artificial intelligence driven by human expertise, aiming to achieve faster answers, stronger decisions, and better patient outcomes.

Purpose

Flatiron Health primarily serves oncology research, clinical practice, and medical decision-making scenarios. Its global oncology engine collects data directly from millions of cancer patients worldwide and transforms it into actionable insights covering the entire oncology ecosystem. The platform is designed to help researchers, clinicians, and healthcare organizations accelerate cancer research, optimize treatment choices, and improve the quality of patient care.

Main Capabilities

  • Real-world data collection and integration: Collects data directly from millions of cancer patients worldwide, covering multiple cancer types and regions.
  • Artificial intelligence-driven analysis: Uses artificial intelligence technology, combined with human expertise, to perform clinical enrichment processing and analysis of real-world data.
  • Actionable insight generation: Transforms data into insights that can be used for research, decision-making, and care improvement.
  • Panoramic datasets: Provides large-scale real-world datasets for specific cancer types, for example, the breast cancer Panoramic dataset has exceeded 1 million patients and has expanded to areas such as multiple myeloma, breast cancer, and non-small cell lung cancer in the United Kingdom, Germany, and Japan.
  • Academic research support: Its real-world data has supported more than 2,000 academic publications.
  • Large language model applications: Explores the use of large language models to characterize serious illness conversations in advanced non-small cell lung cancer, among others.

How to Use

Specific product usage methods, onboarding processes, technical documentation, and pricing information for Flatiron Health are not currently provided. Users can visit its official website https://flatiron.com/ to learn more about solutions.

Applicable Scenarios

  • Oncology real-world research, including cancer types such as multiple myeloma, breast cancer, and non-small cell lung cancer.
  • Treatment decision support in clinical practice.
  • Healthcare quality assessment, such as research on the quality of care for patients with metastatic breast cancer and metastatic non-small cell lung cancer in U.S. community oncology practice.
  • International multicenter data research, covering regions such as the United States, the United Kingdom, Germany, and Japan.
  • Industry conference exchanges, such as STAT Summit 2026, ESMO Congress 2026, AACI/CCAF Annual Meeting, etc.

Limitations

Current materials do not provide information on Flatiron Health's specific pricing, charging models, technical integration methods, data access permissions, compliance certification details, or usage restrictions. Detailed explanations of some features and application scenarios are not currently provided.