Human Data Science and Adverse Event Reporting
Natural language processing empowers timely and actionable insights
Case Study

Human Data Science streamlines the pharmacovigilance reporting processes by enabling timely, actionable insights and decision-making. Current methods for monitoring post-marketing adverse drug reactions (ADRs) is a time consuming and manual process.

Human Data Science applied to pharmacovigilance uses artificial intelligence and machine learning to automatically detect adverse events and other safety risks in structured and unstructured patient data sets, cutting back on manual input and improving the process of adverse event reporting.

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