Can artificial intelligence enhance the monitoring of adverse drug reactions in pharmacovigilance systems?

Artificial intelligence can greatly help in enhancing the monitoring of adverse drug reactions in pharmacovigilance systems. This is because AI algorithms can quickly process a large amount of data from clinical trials, electronic health records, social media, and spontaneous reporting systems to identify safety signals much earlier than the current methods. Natural language processing techniques can also help in extracting relevant data about adverse drug reactions from unstructured reports, and machine learning algorithms can help in identifying patterns and predicting potential risks.

MBH/AB

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AI has the potential to move pharmacovigilance from after the fact reporting to early signal detection, which can significantly reduce patient harm.

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As you have rightly stated AI has the power to store and analyse large data which can help us reach a proper conclusion. If ethical issues are also handled properly AI will pay the way to a beautiful future for pharmacovigilance.

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AI strengthens pharmacovigilance by enabling faster, smarter adverse drug reaction detection.

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extracting result has been a fast process due to use of machine learning and ai models and it would be usefull for early diagnosis of the person which would prrevent a bigger negative impact on human body

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