SAS® Clinical Data Integration
Bringing repeatability and automation to the data integration process.
Benefits
- Increase operational efficiency while lowering costs.
- Ensure the proper use of standards.
- Deliver consistent, trusted and verifiable clinical information.
- Improve productivity.
- Reduce risk.
Screenshots
The solution makes full use of SAS Data Integration Studio and adds additional clinically relevant features.
How SAS® Is Different
- Only SAS helps you decrease time to submission by streamlining the process of preparing clinical data for analysis with an easy-to-use solution that reduces the delays and high costs associated with custom-coding each clinical study.
- SAS not only supports CDISC standards, but also gives you the flexibility to incorporate your own organizational data standards to support your business goals.
- SAS eliminates the problem of inaccurate, contradictory and inconsistent data by embedding data quality within data integration processes.
- Only SAS offers a completely integrated solution that encompasses not only clinical data integration, but the industry’s most comprehensive suite of business analytics software.
- SAS provides an accurate, real-time view of clinical information through the application of automated data quality and data transformation routines to allow you to address potential issues before they affect your study.
Benefits
- Increase operational efficiency while lowering costs.
- Automate repeatable tasks to free up resources for more value-added tasks.
- Increase your capacity to handle additional trials, as well as more complex global trials.
- Write and validate less code, and potentially reuse code for future trials.
- Scale clinical studies without adding expensive, hard-to-find headcount.
- Support adaptive trials through rapid access to clinical data for interim analysis.
- Reuse the work of others via a common repository that enables the management and reuse of information, thereby reducing both development and maintenance time.
- Ensure the proper use of standards.
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Validate both the structure and content of data for conformance to CDISC SDTM.
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Visually convert legacy data to standard data.
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- Deliver consistent, trusted and verifiable clinical information.
- Aggregate information from virtually any hardware platform or operating system.
- Address potential issues before they affect your study by automating data quality and data transformation routines.
- Improve productivity.
- Build and document work with a user-friendly GUI interface.
- Reduce the need to write unique code for each study.
- Get new team members up to speed quickly on work done by others.
- Reduce risk.
- Standard processes and GUI tools enable other resources to finish tasks for improved continuity of business.
- Less hand-written code means less code to validate and maintain.
Features
- Data integration
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- Investment protection for legacy operational systems and data.
- Access all data regardless of the source or format.
- Automated data loads for clinical data on a more frequent schedule.
- Data mapping
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- Flow control, integrated error reporting, job performance monitoring and statistics, and reporting.
- Full mapping of data source (where data came from), data manipulations (how the data has been manipulated) and the final destination for data.
- Impact analysis reports on (and helps you plan for) the impact of any change to the process, including:
- Changes to incoming data formats.
- Changes in data standards.
- Additional data requirements for analysis data sets.
- Data preparation
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- Automated data quality activities let you spend less time validating incoming clinical data.
- Automatically incorporated data quality ensures consistent, trusted and verifiable clinical information.
- Data standardization and validation
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- Standards validation and conformance checking.
- Specialized transformations for mapping clinical data to a standard model.
- Standards management to:
- Match the application of standards to study requirements.
- Provide lifecycle management for standards as standards evolve.
Screenshots
SAS Clinical Data Integration makes full use of SAS Data Integration Studio and adds additional clinically relevant features – e.g., the administration of clinical features, specialized transforms for standards adherence and metadata documentation, and specific handling of clinical domains.
Status reports about mapping and adherence to a standard are also available either by study or for all active studies.
Detailed reports describe data standards usage patterns. These reports can be used to determine the impact of changes to an existing standard or version changes like migrating from SDTM 3.1.1 to SDTM 3.1.2.
Choose which compliance checks to use in a given SAS job easily and accurately. View the checks based on check origin, applicable domain, explanation, severity of error and others.
An additional panel enables administrators to add, remove and modify clinical data standards (e.g., CDISC SDTM) and internal data standards, as well as manage clinical studies – including standards use, default content for new studies and controlled terminology packages.
System Requirements
Client
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Microsoft Windows (x86-32): Windows XP Professional
Server
- Microsoft Windows (x86-32): Windows XP Professional, Windows Server 2003
Ready to learn more?
Call us at 1-800-727-0025 (US and Canada) or request more information.
