Best Practices in PV Data Management
As global healthcare becomes ever more complex, it becomes ever more crucial to advance pharmacovigilance practices, starting with better data management
Over the last half decade, the development of new drugs and vaccines has accelerated in response to global health crises like the COVID-19 pandemic. Moreover, with the globalization of pharmaceutical markets, medicines are now distributed across diverse populations with varying genetic backgrounds, lifestyles, and healthcare practices. This highlights the necessity for more stringent and effective pharmacovigilance practices, which are expected to become increasingly important over the coming years.
Effective pharmacovigilance relies heavily on good data management. In fact, they are two sides of the same coin. Good data management ensures the information collected about medications and their side effects is accurate, complete, and organized. This, in turn, results in the timely identification of safety issues, the very definition of effective pharmacovigilance. To this end, here are five best practices for managing pharmacovigilance data to ensure patient safety.
Practice 1: Data collection and standardization
