Case Study: Flatiron Health scales NGS document extraction across 5M patients with Extend

Flatiron Health scales document extraction to 100M+ pages with Extend

Flatiron Health, a company building a data platform for oncology, faced a significant challenge extracting data from dense and highly variable next-generation sequencing (NGS) reports. Their in-house efforts using OCR and NLP over several years were unable to reliably capture all the biomarker data at scale. This locked away valuable information needed for cancer research and treatment decisions, leading them to seek a vendor solution with Extend.

By implementing Extend's multimodal extraction and document splitting APIs, Flatiron Health replicated six months of previous work in just two weeks. The solution provided the high accuracy and reliability needed for clinical use. As a result, Extend now powers their NGS extraction pipeline, scaling biomarker data access across their network of over 5 million cancer patients and allowing Flatiron to focus on its core mission.

Flatiron Health