Optimizing Omni-channel Intake in Pharmacovigilance
A Cognitive Technology Approach
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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.
About the authors
Dr. Alejandra Guerchicoff
Dr. Alejandra Guerchicoff is a PhD in molecular genetics with a post-doctoral training in molecular cardiology. She is working as an Industry Advisor for TCS ADD platform with the Life Sciences unit at Tata Consultancy Services (TCS). Dr. Guerchicoff possesses a rich experience of more than 20 years in the domain of clinical research and post-marketing pharmacovigilance, for medical devices, drugs, combination products, gene and cell therapy, and software as medical device products.
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Arpita Bhowmick
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