Role of Artificial Intelligence in Pharmacovi...

Role of Artificial Intelligence in Pharmacovigilance: An Overview

Author Name : Ms. Tejal Khade, Dr. Amol Chandekar, Dr. Mohan Kale, Ms. Riya Kambale, Mr. Dipesh Gamar

ABSTRACT

The principal intention of Pharmacovigilance (PV) is to protect and enhance the safety of patients concerning the drug. PV detects the issues associated with drug use and informs them to health authorities and healthcare professionals at the appropriate time. The PV industry required assistance to deal with massive amounts of individual case safety reports (ICSRs). To deal with this situation, it is necessary to take the help of technology like Artificial intelligence (AI).AI has a great ability to improve tasks in PV. AI allows the transformation of simple automation procedures to very efficient Natural Language Processing (NLP) which gives esxcellent outcomes.  AI accelerates the evaluation and reporting of adverse event data promptly and reduces the manual burden in PV. But consists of some distinctive technical difficulties. Like, the terms Information Quality and signal-to-noise ratio vary from structured clinical trial reports and non-structured social media data. There are several limitations of AL like context apprehension, language ambiguities, and translation and incompetence databases. Machine learning (ML) and natural learning processing (NLP) are the characteristics of AI. ML reviews structured information while non-structured analyzed by NLP. In this article, we mainly explore the use of AI in PV in all aspects like case processing and signal detection.  Here we conclude that AI is implemented in various steps of PV along with human intervention for better quality. Machines may be designed with learning capabilities, with the use of neural networks which imitate the cognitive moves of the human brain.

Keywords: Adverse drug reaction, Artificial intelligence, Machine learning, Pharmacovigilance.