Why you should use SAS Life Science Analytics Framework for your next clinical trial
Clinical trials are increasingly complex and running faster than ever before while still being required to produce and deliver reliable results. With this complexity, it can be hard to manage all that clinical research data among other aspects of clinical trials. SAS offers the SAS Life Science Analytics Framework (LSAF) solution to manage and analyze information in a collaborative platform, streamline processes and more efficiently deliver trial results to regulatory authorities.
What is unique about the SAS LSAF?
Only SAS delivers a single, open, cloud-native statistical computing environment for clinical research with embedded analytic tools, support for data standards and optional integrated analytic applications. SAS LSAF helps users modernize and deliver new therapies to the market faster to improve health.
Some key features of the SAS LSAF solution include:
- Faster time to market and cost containment
- Improved efficiency and reduced errors in data aggregation and preparation
- Maximum value from existing or new analytics applications
- Broader access to programming
- Rigorous statistical analysis and regulatory controls
- Expanded access to and collaboration with clinical data
- Solid framework for traditional and emerging trial designs
What are some ways that SAS LSAF improves speed and efficiency of analyzing and reporting clinical trial data?
- LSAF drives global collaboration among internal team members, consultants, contractors and development partners
- LSAF fully embraces open source, enabling hiring managers to expand their hiring pool by giving users the flexibility to program in SAS, R, or Python.
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- LSAF expands information management by providing a fully integrated environment that spans from operational data systems (such as eCRF), electronic health records, sensors and wearables, omics data, biomarker data, etc., through standardization, analysis and reporting, and post-approval meta-analysis. In this way, LSAF saves users time on operational data management and gives them more time to explore, monitor data quality, and execute advanced analytics and statistics.
To Learn More
To learn more about how the SAS Life Science Analytics Framework can help you improve your clinical trial processes, visit Pharma Analytics | SAS Life Science Analytics Framework | SAS. Course curriculum for the LSAF solution is in development and will be available for consumption in the future.
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