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Site selection and patient identification driven by data and technology

Patient Identification by Flatiron is an adaptive data and tech-enabled service designed to appropriately match the right trials to the right sites, and identify trial-eligible patients at the point of care.

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Accelerate your trial with data and AI-driven site and patient identification

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Open clinical trials at the most promising sites

Flatiron’s U.S. community oncology network has activated 1,300+ trials in the past two years. We use high-quality, real-time RWD to identify  eligible patients at these sites—helping optimize trial enrollment and expand access to new research-ready locations.

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Enhance specificity in patient identification assessments

We employ structured clinical and genomic data (e.g., diagnosis, metastatic status, biomarker results) and unstructured data processed via machine learning to rapidly and accurately identify potentially eligible patients, while also reducing screening burden on sites.

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Identify patients at the exact moment of treatment decision-making

We deliver alerts to physicians directly in the EHR, identifying potentially eligible patients at the precise point of eligibility. Our matches are also based on 24-hour data recency, meaning matches are made on the most up-to-date data.

6.5x faster enrollment

Multiple myeloma trial: Flatiron Patient Identification services led to enrollment that was ~20-30% cheaper and ~6.5x faster compared to a traditional approach.

25+ sites identified

Triple-negative breast cancer trial: Flatiron identified 27 US community oncology sites with a high volume of racially and ethnically diverse, potentially eligible patients.

>10% of total trial enrollment

Phase II ultra-rare disease basket trial: Over 10% of total trial enrollment was driven by Flatiron services, including the first-patient-in on one of the rare, biomarker defined trial arms.

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