Machine Learning: An Essential Skill for Pharmacovigilance Professionals

Impact and Advantage of Machine Learning for Pharmacovigilance Professionals

• The advent of artificial intelligence has transformed the Life Sciences industry and revolutionized operations in the pharmacovigilance space.

• There has been widespread adoption of artificial intelligence and machine learning in life sciences across the entire pharmacovigilance value chain to improve drug safety science.

• The move will enhance decision-making process in the industry and help achieve better patient outcomes. As such, a pharmacovigilance professional will now need to learn machine learning in life sciences and wear the hat of a Learning Champion – someone who can be a pharmacovigilance expert, a business analyst, and a data scientist – in order to tutor machines.

• A Learning Champion must unlearn a few skills before imbibing machine-oriented ones because they need to interact with static platforms in their role of a pharmacovigilance professional.

• In order to increase machine’s overall efficiency, the Learning Champion needs to understand the AI system’s functional design.

• Human Intelligence when correlated to artificial intelligence helps the Learning Champion to map human learning for a machine’s use and accelerate the learning process.