The future of pharmacovigilance: Assessing the role of ML, NLP and other technologies

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The field of pharmacovigilance has evolved significantly in recent years. While regulatory authorities have long favored technologies such as artificial intelligence and machine learning for monitoring patient safety, the trend has accelerated during the pandemic. “I’ve never seen as much advancement as I have in the last two years,” said Marie Flanagan, director, offering management, Vigilance Detect at IQVIA.

Flanagan predicted that regulators’ interest in AI and ML for pharmacovigilance will catalyze growing interest across the pharma industry in 2022 and beyond. The pandemic has demonstrated to regulators and life science companies that the technologies can help make sense of exploding volumes of pharmacovigilance data points.

“If we look at just the user vigilance database in the past two years — as of last week, 64% of all infor…

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Automating audio records processing to manage surges in patient data

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The volume of audio files that potentially contain valuable data on adverse events (AEs) has exploded, outpacing the pace pharmacovigilance (PV) operations originally anticipated in the COVID era. Healthcare company call centers, which in some instances saw up to 75% of adverse drug reaction (ADR) notifications reported through this channel, are challenged to handle this drastic increase in source data that requires tedious review for potential safety events or risks contained in audio interactions and transcriptions. As the increase in source volumes surpasses normal hiring capabilities, pharmaceutical companies face a growing challenge to ensure compliance with AE reporting regulations.

The need for a technology solution

Anyone contacting a healthcare provider (HCP), healthcare regulator or a medical commercial call center could disclose potential adverse events (PA…

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