The Digital Statistical Computing Environment (SCE) Playbook For Clinical Development

As innovation in clinical development continues to accelerate and decentralized trial (DCT) models become more widely adopted, the volume of clinical trial data from a variety of sources continues to proliferate, creating both opportunities and challenges for life sciences organizations. While more advanced trial modalities such as DCT make trials more accessible and relieves patient burden, the volume and variety of study data collected adds to the complexity of managing clinical data workflows throughout the trial lifecycle. More complex multi-arm trials used for oncology products can also require enormous data and content stores, challenging the capabilities of legacy clinical data stores. Leveraging a modern technology solution is one way sponsors can get in front of these new clinical development challenges.

This is the first in our series of e-books to highlight how life sciences organizations can utilize an integrated statistical computing environment to streamline the production of submission deliverables while increasing programming and analysis efficiencies.