For many years, natural language processing (NLP) has held the promise of dramatically increasing the ability of healthcare organizations to quickly and accurately understand unstructured medical text in clinical notes. Using medical NLP, healthcare providers, clinical researchers, and payers would uncover meaningful insights hidden in unstructured text faster, with fewer errors, and at less cost than manual data review and analysis. This high-quality medical-grade data in turn would drive advances in understanding disease progression, assessing treatment efficacy, and detecting population health trends and other use cases.
