Leveraging Artificial Intelligence (AI) In Pharmacovigilance

Expert-driven technologies are continually being implemented into the clinical process to eliminate manual burdens and ramp up efficiencies. AI-enabled automated systems help to remove the barriers that prevent high-quality data and compliance in reporting of clinical events.
Many mid- and large-scale pharma organizations are investing in AI-enabled automated pharmacovigilance (PV) processes, applying algorithms to data entry and triage, medical review phases, and reporting. In doing so, they aim to enhance data quality and accuracy, eliminate bias, reduce the manual burden on their teams, and maintain compliance with regulatory requirements. Providing real-time monitoring of high-quality data sets also has significant implications for patient safety and protection.
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