Case study: Extracting Real-World Evidence from large-scale population health documents

Case study: Extracting Real-World Evidence from large-scale population health documents

Pentavere Research Group was developing a big data platform to provide insights using Real-World Evidence to better understand why clinical decisions are made, and thereby help improve healthcare efficiencies. Pentavere partnered with Linguamatics to integrate the I2E NLP solution into its own daRWEn™ platform, to access Real-World Evidence on a large scale. Using Linguamatics I2E allowed Pentavere to speed up delivery of its Real-World Evidence platform daRWEn™, saving both time and money.

Download the case study by completing the form below: