Oracle Life Sciences Data Hub

Oracle Life Sciences Data Hub is an integrated environment for clinical data, improving regulatory compliance, providing better insights for more informed decision making and improving productivity. Oracle Life Sciences Data Hub supports the mission-critical task of integrating clinical and non-clinical data from multiple sources into a single environment for analysis, visualization and reporting.

Integration and aggregation of data in Oracle Life Sciences Data Hub can be used to provide clear business intelligence to drive portfolio decisions and reduce the risks inherent in conducting a clinical research program. Whether making decisions for adaptive clinical trials based on predetermined milestones or comparing financial, safety, efficacy and progress information on a clinical program with comparator and outcomes data, Oracle Life Sciences Data Hub provides the infrastructure and tools to support informed decision-making.

Oracle Life Sciences Data Hub can also reduce the overall cost of IT systems ownership by replacing multiple analytical systems with a single integration and reporting system for data integration, metadata management, blinding and unblinding, report execution, report storage and retrieval, workflows, and data visualization for the entire clinical development organization. The repositories in Life Sciences Data Hub are designed and maintained by business users, such as clinical programmers and statistical programmers, without the need for IT specialists to build, validate and generate data repositories and reports. All clinical development staff can access the data and business intelligence in a common, secure environment that is independent of the original data sources.

Improved Regulatory Compliance

• Validated & secure repository for clinical data to prepare submissions for approval and regulatory inquiries
• Controlled environment providing full traceability for data and programs
• Faster query response, with higher quality based on data standards

Better Insights into Data for Informed Decision Making

• Holistic views of internal and partner data for better decision making via acquisition & management of data from multiple studies and data sources
• Supports structured business processes for integrating clinical, safety and other types of information
• Supports pooling of data as well as analysis, reporting and data mining in one integrated environment

Increased R&D Efficiency

• Enables streamlining of business processes around acquisition, analysis and reporting of data by providing workflow capabilities
• Lowers IT costs by consolidating data and enabling retirement of legacy systems
• Enables organizations to leverage existing IT investment by providing interface facilities