Unlocking electronic health record data with natural language processing: the MOSAIC-NLP project

The Multi-source Observational Safety Study for Advanced Information Classification Using NLP (MOSAIC-NLP) is a two-year project funded by the US Food and Drug Administration (FDA) through the Sentinel Innovation Center. The project aims to advance the validity of population-based pharmacoepidemiologic studies by leveraging natural language processing (NLP) to extract real-world data (RWD) from clinical notes within electronic health records (EHRs). The project is a collaboration between Cerner Enviza, an Oracle company, in association with John Snow Labs and other healthcare institutions, including Harvard Pilgrim Health Care Institute and Mass General Brigham. In this interview we speak with Elise Berliner and...