How To Tackle the Data Challenges of Pharmacovigilance?

Cognitive computing can transform the practice of pharmacovigilance, from a tedious, resource-intensive process to a dynamic and efficient method focusing on risk management. FREMONT, CA: As pharmacovigilance deals with the activities relating to the detection, understanding, assessment, and prevention of adverse effects of pharmaceutical products, it has to navigate through a large volume of complex data. It cannot be avoided for its complex nature because pharmacovigilance audit accesses the compliance of pharma companies with worldwide laws, regulations, and FDA guidance. There arises a demand for handling enormous data by remaining compliant with the changing regulations globally while maintaining and improving the information contained in the individual case safety reports. The cost of handling pharmacovigilance is increasing with the exponential growth of cases received by pharmaceutical companies. The technical advancement like cloud-based solutions, mobile health devices, artificial intelligence, blockchain, and machine learning can improve the effectiveness of PV and the efficacy of drugs.