Journal of Pharmacovigilance and Quality Assurance ISSN: 3108-2343 (Online)

Authors:  Kajol Singh, Ruchika Pandit, Dr. K. R Nandan

Abstract: Pharmacovigilance is a critical component of drug safety surveillance, aiming to detect, assess, understand, and prevent adverse drug reactions (ADRs). With the advent of digital technologies and the exponential growth of data, there is an opportunity to leverage big data to enhance pharmacovigilance practices. This paper explores the potential of digital technologies, such as electronic health records (EHRs), social media mining, wearable devices, and machine learning algorithms, to improve drug safety surveillance and pharmacovigilance. It discusses the benefits, challenges, and ethical considerations associated with leveraging big data for enhanced drug safety surveillance, emphasizing the need for robust methodologies and data privacy protection. The paper concludes by highlighting the future prospects of digital technologies in pharmacovigilance and their potential to revolutionize drug safety surveillance.

Keywords: Pharmacovigilance, Drug safety surveillance, Digital technologies Big data analytics, Electronic health records, Social media mining, Wearable devices, Machine learning, Adverse drug reactions, Signal detection, Causality assessment, Personalized medicine, Data quality, Data privacy, Ethical considerations, Regulatory frameworks, Collaboration, Real-time monitoring, Patient outcomes, Drug regulation