Pentavere Research Group of Toronto, Canada, was developing a platform to provide health insights from Real-World Evidence (RWE). Pentavere’s aim is to improve healthcare efficiency by allowing life science companies and healthcare providers to understand the impact of clinical decisions made in the primary care setting.
The company’s proprietary platform, daRWEn™, uses digitized, de-identified, and aggregated health information, but much of the valuable data that it wanted to include was locked inside free-form text, making it difficult to extract. Pentavere soon realized that it needed to incorporate natural language processing (NLP) capabilities into its platform in order to access these RWE insights. To achieve this in a timely and efficient manner, it chose to integrate the Linguamatics I2E NLP solution into daRWEn™.
Why Linguamatics? There were several important factors, including: