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SAS® for Clinical Data Integration
A complete environment for delivering full-spectrum clinical data integration capabilities
Inefficiencies in the collection, processing and analysis of clinical information slow the pace of drug development and can dramatically increase the cost of research and development. Many firms are leveraging data standards like CDISC to provide more efficient and effective use of clinical information.
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SAS for Clinical Data Integration is the foundation you need to ensure standard, trusted clinical data. With SAS, you can gain both speed and efficiency by automating repeatable clinical data integration tasks.
Benefits
- Build a single, integrated platform that lets you access and manage data from a wide range of sources—including EDC systems, in-house CDMSs, labs and CROs.
- Identify and automate repeatable processes based on a common platform to reduce manual intervention, speed processes and improve decision making.
- Ensure the proper use of standards by analyzing both the structure and the content of the data and using CDISC standards such as ODM and SDTM.
- Provide an accurate, real-time view of the information by applying reliable data quality measures that let you address potential issues proactively before they have a negative impact on your study.
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The SAS Difference
- Only SAS helps you decrease time to submission by streamlining data integration and analysis processes with an end-to-end data integration framework that helps eliminate the time, rework, costs and potential for errors that can occur in aggregating information from different systems and locations.
- The SAS data integration framework is unique, offering support for:
- CDISC standards, such as ODM and SDTM, which are imbedded directly into the data management process.
- Organizational data standards and FDA requirements for electronic submissions.
- Existing and emerging methodologies, as well as providing the technology for moving between them.
- The SAS data integration framework is configured as a continuous improvement loop; when a correction is made in one area, the change is propagated across all instances of the data throughout the system.
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Looking for more information on SAS for Clinical Data Integration?
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