Today, more than ever, pharmaceutical companies are under great pressure to run their business in a way that makes drug development processes more efficient and cost-effective. But, clinical trial sponsors face increasing challenges based on the need for more complex study protocols and larger digitized data sets to support the next medical breakthrough. Coupling this with the geographic growth of clinical trials, it’s no wonder humans are struggling to keep up. It’s not just increasing data volume that keeps trial sponsors awake at night. Data velocity, data variety, and data veracity are problems as well.
Read how Artificial Intelligence, the cloud, and modern data architecture are converging to address the increasing data challenges faced by researchers and to transform every stage of the clinical trial process, leading to more efficient clinical development and faster times to market.ERT_Disrupting-clinical-development.JCS_March 2019