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SAS Clinical

SAS Clinical Data Integration provides the foundation you need to ensure standard, trusted clinical data that will support strategic analyses, such as cross-study and advanced safety analysis. SAS Clinical Data Integration is an easy-to-use solution that streamlines data integration and transformation processes, thereby reducing the delays and high costs associated with custom-coding each clinical data integration project, and enabling you to decrease your time to submission. With SAS, you can gain both speed and efficiency by automating repeatable clinical data integration tasks.

SAS Clinical Data Integration provides an accurate, real-time view of clinical information using automated data quality and data transformation routines that enable you to address potential issues before they affect your study. Your organization can get drugs to market more quickly by automating data quality checks to more efficiently validate clinical data.

The use of data standards in clinical research is gaining momentum. Clinical Data Interchange Standards Consortium (CDISC) standards are used increasingly for submitting study metadata and data to regulatory agencies. In the US, the FDA has adopted CDISC standards for submission of tabulation data (SDTM) and the main study metadata XML file Define-XML. SAS realizes that data standardization involves more than just mapping to CDISC standards. That’s why SAS Clinical Data Integration gives you the flexibility to apply different standards – even different versions of SDTM, ADaM or custom data standards – as required by your organization (by therapeutic area, development program, etc.).

Only SAS offers a solution that encompasses not only clinical data integration, but also the industry’s most comprehensive suite of business analytics software. In addition, SAS Clinical Data Integration provides built-in integration with Medidata Rave to support rapid clinical insights.

Features

Combines clinical, operational and safety data from multiple sources for analysis

  • Protects your investment in legacy operational systems and data.
  • Provides access to all data regardless of the source or format.
  • Integrates data from disparate sources.
  • Automates data loads for clinical data on a more frequent schedule.

Prepares uniform, consistent data for analysis

  • Provides 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, data manipulations and the final destination for data.

Ensures data quality

  • Automates data quality activities so you spend less time validating incoming clinical data.
  • Limits the risk of overwriting the work of others through change management.

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 or ADaM.
  • Standardize data to CDISC SDTM, SEND or ADaM 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, operational and safety data from multiple sources

  • Protects your investment in legacy operational systems and data.
  • Integrates with Medidata Rave and other leading EDC systems.
  • 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

  • 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.

Enhances data quality to ensure trustworthy analytical conclusions

  • 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.

Provides data standards support

  • 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.