2024

Life sciences’ great showcase solution for generative AI: adverse event case intake

by cyb2025

EMMANUEL BELABE
Senior Vice-President for Customer Success, Global Customer Support, and Solution Consulting at ArisGlobal, New Jersey, United States

ABSTRACT

Adverse event (AE) case intake, in its current form, is one of the most overlooked and broken workflows in biopharma, so it is ripe for disruption by next-generation AI technologies. After several years of bold promises, Generative AI and Large Language Models are now tangibly delivering human-like decision-making, leading to earlier and more accurate conclusions about Safety events, to enable real-time interventions. ArisGlobal’s Emmanuel Belabe assesses how far the technology has come in delivering intelligent, automated case intake; the tangible difference this is already making; and the wider opportunity for reinventing pharma R&D operations.

In developed economies, it is expected, and assumed, that any authorized drug or medicinal therapy designed for human use is unequivocally safe. Pharmacovigilance processes – the discipline of continuously monitoring the effects of drugs once on the market – are designed to uphold that position over time, once a product has been authorized for patient consumption.

 

Approaches to post-market Safety monitoring have changed little in decades, however, despite soaring volumes of available information – submitted in an increasing array of formats, via a proliferating range of channels.

 

ABOUT THE AUTHOR

Emmanuel Belabe is Senior Vice President for Customer Success within the Global Customer Support and Solution Consulting organisation at ArisGlobal. ArisGlobal, an innovative life sciences technology company and creator of LifeSphere®, is transforming the way today’s most successful life sciences companies develop breakthroughs and bring new products to market. Headquartered in the United States, ArisGlobal has regional offices in Europe, India, Japan, and China. For more updates, follow ArisGlobal on LinkedIn.

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