Abstract
ARTIFICIAL INTELLIGENCE IN PHARMACOVIGLANCE: AN SYSTEMATIC REVIEW

Dhananjay S. Mane*, Shruti R. Dhamale, Sudarshan N. Pawar and Yash R. Dhamale

ABSTRACT

The healthcare sector understands the need to support the increasing volume of data gathered from individual case safety reports (ICSRs), especially in the area of pharmacovigilance. To handle this expansion, more healthcare and highly qualified professionals are required for the collection and evaluation of data. Large-scale adoption of assistive technology like artificial intelligence (AI) will be necessary to stay up with the rapidly changing world. Artificial intelligence has the potential to transform the daily work and professional development of drug safety professionals in the field of pharmacovigilance. The healthcare sector understands the need to support the increasing volume of data gathered from individual case safety reports (ICSRs), especially in the area of pharmacovigilance. To deal with this expansion, more healthcare and highly qualified professionals are required for data collection and assessment. Artificial intelligence (AI) and other assistive technologies will need to be widely deployed in order to stay up with the rapidly evolving environment. Artificial intelligence has the potential to transform the daily work and professional development of drug safety professionals in the field of pharmacovigilance. Artificial intelligence has the potential to improve the pharmacovigilance industry’s qualitative and quantitative data gathering and assessment processes through the application of machine learning algorithms. Advanced medical approaches, like personalised treatment that maximises the risk-benefit ratio, are made possible by artificial intelligence. In this review we have concisely focused on benefits of applying AI techniques in PV, role of drug safety professionals using AI, role of AI in PV 21st century, challenges of using AI in pharmacovigilance and Future perspectives and recommendations for future Research and developments in AI integration with Pharmacovigilance.

Keywords: Artificial intelligence, Pharmacovigilance, Drug Safety, Pharmacology.


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