SAS® Clinical Data Integration
Bringing repeatability and automation to the data integration process
SAS Clinical Data Integration organizes, standardizes and manages clinical research data and metadata. It provides the foundation you need to ensure standard, trusted clinical data to support strategic analyses, such as cross-study and advanced safety analysis. With SAS, you can gain both speed and efficiency by automating repeatable clinical data integration tasks.
Benefits
- Increase operational efficiency while lowering costs.
- Drive top-line growth.
- Ensure the proper use of standards.
- Deliver consistent, trusted and verifiable clinical information.
- Improve productivity.
Features
- Integrates clinical data from multiple sources.
- Prepares uniform, consistent data for analysis.
- Enhances data quality to ensure trustworthy analytical conclusions.
- Supports data standards and performs adherence checks.
Screenshot
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.
Screenshots
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 higher 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.
- Manage and reuse information stored in a common repository to reduce both development and maintenance time.
- Support adaptive trials through rapid access to clinical data.
- Drive top-line growth.
- Leverage existing clinical data to make new marketing claims or discoveries.
- Speed data preparation for medical publications.
- Automate the migration of acquired data assets through data standards.
- Support and automate data aggregation and standardization for ongoing clinical trials.
- Ensure the proper use of standards.
- Validate both the structure and content of data for conformance to CDISC SDTM.
- Standardize data to CDISC SDTM using prebuilt data models and processes.
- Visually convert legacy data to standard data.
- 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.
Features
- Integrates clinical data from multiple sources.
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- Protects your investment in legacy operational systems and data.
- Enables access to all data regardless of source or format.
- Automates data loads for clinical data on a more frequent schedule.
- Prepares uniform, consistent data for analysis.
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- Includes flow control, integrated error reporting, job performance monitoring and statistics, and reporting.
- Provides tools to support aggregation of data across clinical trials.
- Provides a full mapping of data source (where data came from), data manipulations (how the data has been manipulated) and the final destination for data.
- Helps you plan for and report on the impact of any process changes, including:
- Changes to incoming data formats.
- Changes in data standards.
- Additional data requirements for analysis data sets.
- Enhances data quality to ensure trustworthy analytical conclusions.
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- Automates data quality activities so less time is spent validating incoming clinical data.
- Automatically incorporates data quality techniques to ensure consistent, trusted and verifiable clinical information.
- Supports data standards and performs adherence checks.
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- Performs standards adherence checks.
- Includes prebuilt support for CDISC models, including SDTM and CRT-DDS (define.xml), and is extensible for custom models.
- Provides specialized transformations for mapping clinical data to a standard model.
- Matches the application of standards to study requirements.
- Provides lifecycle management for standards as they 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.
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.
Status reports about mapping and adherence to a standard are also available either by study or for all active studies.
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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Windows (x86-32): Windows XP Professional, Windows Vista*, Windows 7
Server
- Microsoft Windows (x86-32): Windows XP Professional, Windows Server 2003, Windows Vista*, Windows 7
- Solaris on x64: Version 10
*NOTE: Supported Windows Vista editions include Enterprise, Business and Ultimate.
Ready to learn more?
Call us at 1-800-727-0025 (US and Canada) or request more information.
