Advanced analytics, automation, and cognitive services are driving opportunities to transform pharmacovigilance. PV analytics is changing the way of analyzing data and getting valuable insights for regulators in developing a learning system to improve the drug’s risk-benefit profile. It likewise helps in determining the ideal treatment to improve product quality and patient wellbeing.
Moreover, PV analytics acts as a medium in monitoring and tracking the pharmacovigilance data. It consolidates data, analyzes it, and shares drug safety insights to reduce risks, adverse reactions, and patient harm in the shortest time possible.
PV Analytics will monitor data to prevent any adverse events. It supports creating various data models that can determine the probability of critical side effects for different groups of patients. It also helps in drug classification, processing, workflow, CRO management, and processor management.
PV Analytics leverages the enormous amount of healthcare data in realtime. It allows organizations to recognize risks and benefits, which can help in improving the safety profile of the pharmaceutical products and accelerate the drug discovery process.
PV analytics generate insights on the patient outcomes through the disease characteristics and treatment patterns for individual patients. Organizations can prove their case for the value-add of the product to the health authorities, providers, and patients too.