Clinical Research Analytics

Advance clinical data science with regulatory-grade analytics.

How SAS® Supports Clinical Research Analytics

As the market leader in clinical research analytics, SAS provides a secure analytics foundation and scalable framework for clinical analysis and submission. Our robust analytic tools and techniques, including AI and machine learning, help you gain a competitive edge in the high-stakes world of clinical research analytics – from getting trials up and running, to modernizing trial designs, to delivering life-changing therapies to market faster and more efficiently. SAS also provides the leading platform for data transparency, allowing you to securely share historical trial data with third-party researchers for the betterment of medicine.

Clinical trial modernization

  • Adopt an end-to-end clinical analytics foundation so you can spend more time on data exploration, data quality monitoring, and executing advanced analytics and statistics.
  • Integrate your clinical ecosystem and collaborate with partners.
  • Apply streaming and edge IoT analytics to tackle unprecedented growth in data volume and velocity from the Internet of Medical Things (IoMT) devices.
  • Use real world data to drive insight into the clinical development process.

Clinical trial operational analytics

  • Use advanced analytics to mimic the behavior of the enrollment process, quickly predict likely outcomes and test different approaches using what-if scenarios.
  • Compare realized enrollment versus simulations, and adapt plans to stay on target.
  • Inform site supply more efficiently using enrollment predictions.
  • Use real world data to inform operational processes and make better decisions.

AI & machine learning

  • Drive automation and consistency across studies with machine learning.
  • Use machine learning to extract new insights and boost clinical development efficiency.
  • Use AI and machine learning to develop fit-for-future trial designs, e.g., virtual, pragmatic and adaptive trials.
  • Use clinical data mapping to easily store AI-powered transformation rules in a central database in alignment with actual trial data and CDISC data standards metadata.

Clinical data transparency

  • Use our industry-leading clinical data transparency to share clinical research with external researchers for secondary analysis and advancement of new discoveries.
  • Give researchers access to an unparalleled breadth of available data from more than 25 sponsors.
  • Empower researchers with maximum analytical depth and flexibility, including the use of open source and third-party licensed software.
  • Give researchers free access to data, and allow for transparency platform interoperability.

Why SAS® for clinical research analytics?

SAS is the standard for clinical research analytics in the life sciences industry, helping you maximize value and reduce risks.

Gain insights faster

Adopt a single integrated platform for clinical analysis and submission, allowing your team to focus on insights and drive results. A wealth of technologies provides scalability, visualization and submission-grade statistics for understanding clinical trial results faster and detecting potential issues sooner.

Mitigate risk

Reduce risk with a centralized repository that meets all security requirements with auditable actions, traceability and repeatability. Deliver data to regulators using built-in CDISC standards. Decrease downtime with all-in hosted solutions. And provide technical support for all your global teams and collaborators.

Increase efficiency

Improve performance with mature, standards-driven processes. Streamline data and analytics building blocks for maximum reuse.