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A Cognitive Technology Approach
Dr. Alejandra Guerchicoff
Industry Leader, TCS ADD Safety, TCS
Arpita Bhowmick
Director of Global Contact Center for Digital Technology (Commercial), Moderna
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The adoption and shift from traditional Pharmacovigilance (PV) intake to a next-generation, automated and intelligent model presents technical challenges and organizational changes for the Life Sciences Industry.
With the ever-increasing volume of safety reports from new and numerous structured and unstructured sources, multi-channel intake mechanisms and social listening, there has been an exponential increase in the workload and operational overheads for PV professionals. Additionally, in recent years, data shared through social media, mobile apps, and other social media channels has increased manifold requiring data mining solutions and techniques.
Our whitepaper aims to provide a blueprint to demonstrate how advanced digital technologies can optimize the PV and product quality intake operations to efficiently collect Adverse Events and Product Quality Complaints from multiple channels and sources irrespective of volume while maintaining a focus on patient safety.
Next-gen Medical Writing: The Current State and Future Perspective
Transforming PV Efficiencies with ML and Rule-based Automation
The new age digital contract research organizations
A beginner’s guide to AI driven pharmacovigilance platform
Learn how we can help you bring drugs to the market faster.
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