Product Overview
SAS Life Science Analytics Framework
SAS Statistical Software 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. Our analytic foundation for clinical research helps you modernize and deliver new therapies to market faster to improve health.
Key features
SAS Statistical Software helps manage and analyze information in a collaborative platform, streamline processes and more efficiently deliver trial results to regulatory authorities.
Faster time to market & cost containment: Provides cloud-native, single solution for clinical analysis and submission with everything you need for validation, regulatory compliance, versioning, audit trails and documentation support. Allows for automation through workflows, support for current and future integrations, and implements and properly manages data standards and controlled terminology.
Improved efficiency & reduced errors in data aggregation & preparation: Includes central hub for all incoming data, automated data quality analysis, better data management and analytical data preparation. Provides impact analysis for every job and full mapping of data source, data manipulations and a final destination for data. Includes advanced search functionality to improve discoverability and productivity.
Maximum value from existing or new analytics applications: Integrates analytic applications, including those you have already developed or from SAS, for a variety of business needs. Ability to pull data directly from existing EDC systems for quicker access to data and potential cost savings.
Broader access to programming talent: Gives users the flexibility to program in SAS or R.
Rigorous statistical analysis & regulatory controls: Combines regulatory compliance and control features with seamless development and execution of SAS programs to reduce risk.
Expanded access to & collaboration with clinical data: Includes a centralized shared workspace, clinical data repository and analytics platform providing access for all authorized global team members. Everyone works within the single platform.
Solid framework for traditional & emerging trial designs: Supports new, decentralized and hybrid trial models, including automation, decision support and activity tracking.
Deployment
- Web based
- Cloud Hosted
Pricing
- Subscription
- License Fee
More Information
Information management
- Consolidation of clinical information into a single, secure, centralized global repository.
- Review of specific data set versions used, log files created, SAS programs executed and results generated.
- Rapid result reproduction.
- Tracing of data pedigree back to source data.
- Rapid answering of regulatory inquiries concerning data pedigree, transformations or analytical results.
- Ability to readily determine what audit changes were made, when and by whom, for all content stored in the repository.
- Executed program manifests that document all inputs, programs and results that are associated with an execution run for retention of all data and metadata necessary to analyzing results.
Statistical analysis & regulatory controls
- Seamless integration with SAS programming and program execution environments.
- Full control over SAS job execution.
- Ability to easily load and utilize standard analytic programs.
- Check in/out, audit trails, electronic signatures, versioning and role-based privileges.
- Quick reproduction of results using a job manifest (complete hyperlinked documentation package for each job that includes programs, data, logs and results).
- Control of all information via secure logins, audit trails, versioning and role-based privileges and policies.
- Ability to integrate with CTMS and document management systems.
Analytical data preparation
- Full mapping of data source, data manipulations and final destination for data.
- Impact analysis, reporting on (and helping to plan for) impact of any change to the process, including changes to incoming data formats and data standards or additional data requirements for analysis data sets.
- Automated data loads for clinical data on a more frequent schedule.
- Data extraction from Medidata Rave and other leading EDC systems.
- Connectable with EHRs and wearables and sensor data.
- Ability to integrate with third-party coding systems.
CDISC data standards support (model-driven)
- Standards governance.
- Study metadata management.
- Cell-based editing for adding and modifying metadata.
- User interface provides validation against model.
- Integration with Pinnacle21 (community and enterprise versions).
- Import Define-XML 2.0.
- Create Define-XML 2.0 (complete with style sheet).
- Data standards comparison reports.
Workflow optimization
- Assignment of tasks and progress tracking for each analysis activity and each deliverable.
- Support for workflow on multiple analyses, including interim and final analyses.
- Flexible access rights and privileges by project.
Integration of pharma analytics applications
- Integrate analytics applications – either user-developed or purchased from SAS – for a variety of business needs, including:
- Risk-based scoring and monitoring.
- Selection of the best investigator sites.
- Recruiting clinical trial participants.
- Improving safety surveillance and post-marketing activities.
- Supporting medical monitoring programs.
About the company
SAS data and AI solutions provide our global customers with knowledge they can trust in the moments that matter, inspiring bold new innovations across industries.
SAS is the founder and future of analytics. It all began when curious minds set out to answer some big questions. Is there a better way to analyze data? How can we turn data into intelligence? Who might benefit from our technology? Lines of code were the key to something extraordinary. Now SAS has customers around the world. We analyze billions of rows of data every second that change the way we work and live.
