3 Automation Outcomes For Pharmacovigilance And Safety Teams

With the continued implementation of artificial intelligence (AI) and automated systems into the clinical process, automated data management systems have helped to alleviate manual burdens on safety teams to focus on more critical tasks. The goal at present is to enhance data quality, eliminate bias, and maintain compliance with regulatory requirements. Trends indicate a movement toward cognitive automation, including automating the case processing and signaling elements to improve cost efficiencies and capture larger volumes of meaningful data.