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Archana Babu*, Sowparnika Treasa Sabu and Shaiju S. Dharan


Background: As all the adverse events of a drug is not detected from clinical trials, occurrence of adverse events on a drug is more likely after being released into the market, due to inter-individual variability, increased number of diseases, the physiological condition or advancing age of patient. Detection, assessment and monitoring of adverse effects is the primary goal for all the drug safety professionals. However pharmacovigilance process might be a cumbersome process when the data volume increases in a hospital setting and more complex when done in a community settings. Introduction of artificial intelligence to pharmacovigilance sector can improve qualitative and quantitative data collection and its assessment by utilisation of machine learning algorithms. Advanced medical approaches like personalised medicine optimising risk-benefit ratio is acquired through artificial intelligence. Method: The review was done by referring research and review articles from sites like PubMed, Google Scholar, Science direct, IJOPP, Research gate and information regarding various databases are obtained from WHO-UMC site. Observations: Artificial intelligence methodologies could be the ultimate answer for the cumbersome workload of data collection and analysis in pharmacovigilance sector to provide a hassle-free, tailored, customised result and will bring up a huge impact in Fourth Industrial Revolution, fusing physical, digital and biological world.

Keywords: Artificial intelligence, pharmacovigilance, automation, machine learning, database.

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