Healthcare Data Analytics Reviews

Healthcare Data Analytics Description

Over 70% of healthcare information is contained within clinical documents, including reports, patient charts, clinician notes, and discharge summaries, allowing our specialized Natural Language Processing and AI Engine to extract essential concepts, attributes, and contextual information that drive business insights, enhance billing processes, assess and categorize patient risks, calculate quality metrics, and gather patient sentiment and outcome data. By tapping into difficult-to-access or previously unused data sources, you can significantly improve your clinical research or business intelligence efforts. Our extensive database features thousands of clinical concepts, including genomic biomarkers, symptoms, side effects, and medications, enabling the identification of disease characteristics and risk factors from clinical documents to better stratify patients and elevate the standard of care. Moreover, we ensure the protection of data subjects' identities while preserving the usefulness of the data through effective document de-identification strategies. This approach not only safeguards privacy but also empowers healthcare organizations to make informed decisions based on the most comprehensive data available.