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The life sciences industry is under pressure to accelerate time-to-market for new compounds – at lower cost. Traditionally, the process of managing clinical trials data has been cumbersome and resource-intensive. Industry analysts have stated that automated data integration and validation can trim 30 to 50 percent from the clinical trial cycle. This white paper makes a case for implementing data standards and applying automated processes for managing data throughout the clinical trials process, from study design to regulatory submissions. It also describes how SAS Clinical Data Integration provides value for sponsors, CROs and regulatory authorities through mature data transformation capabilities, embedded CDISC capabilities, the ability to automate repeatable processes and the flexibility to support the evolution of both new and custom models.