Flatiron Health provides a health‑technology platform that aggregates de‑identified oncology electronic health record data from a network of cancer centers and applies AI‑driven curation to produce real‑world evidence on treatment patterns, outcomes, and value. The service delivers interactive dashboards, API access, and regulatory‑ready reports that help pharmaceutical companies, researchers, health‑system leaders, and regulators bridge the gap between clinical trial results and everyday patient care.
Funding
$11.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Oncologists and researchers rely on randomized clinical trial data that often do not reflect the diverse patient populations seen in everyday practice, making it difficult to assess treatment effectiveness, safety, and health‑system impact in real‑world settings.
Solution
Flatiron Health operates a health‑technology platform that aggregates and curates de‑identified oncology electronic health record data from hundreds of cancer centers worldwide. The platform applies standardized data models and AI‑driven analytics to generate real‑world evidence (RWE) on treatment patterns, outcomes, and value. These insights are delivered through dashboards, APIs, and regulatory‑ready reports that support drug development, market access, and clinical decision making. By linking point‑of‑care workflows with research‑grade data, Flatiron enables clinicians, pharmaceutical companies, and regulators to close the evidence gap between trial results and everyday patient care.
Target Audience
Primary customers include oncology pharmaceutical and biotech companies, academic and commercial researchers, health‑system leaders, and regulatory/HTA agencies that need robust real‑world evidence to inform drug development, market access, and clinical practice.
Features
- Large, longitudinal oncology dataset sourced from a network of community and academic cancer centers, continuously updated in near real time
- Structured data extraction and curation using AI/ML pipelines that standardize clinical, pathology, and outcomes information
- OncoEMR® electronic health record system that integrates point‑of‑care documentation with research‑grade data capture
- Interactive analytics dashboards and API access for cohort identification, comparative effectiveness, and health‑economics analyses
- Built‑in regulatory and health‑technology assessment (HTA) modules that generate compliant evidence packages for submissions
- Secure, privacy‑preserving data handling with de‑identification, audit trails, and compliance with global data‑protection regulations