Oracle has introduced Oracle Health Sciences Data Management Workbench to help meet continued pressure to boost clinical programme productivity and reduce the cost and risk of clinical trials.
"As an end-to-end data management solution, Oracle Health Sciences Data Management Workbench enables health sciences organisations to improve clinical programme productivity and reduce costs and risk by reducing study cycle times, improving data quality and decision making," says Steve Rosenberg, senior VP and GM, Oracle Health Sciences.
To Oracle, the solution, which is integrated with Oracle Life Sciences Data Hub, automatically aggregates, integrates and reconciles the rapidly growing volume of data that clinical trials collect from internal and external data sources, including electronic data capture, laboratory, safety/pharmacovigilance and drug supply systems.
In addition, the solution automates the normalisation and transformation of multi-source data to create a single source of truth for all stakeholders in the clinical development process and helps enable rapid analysis to drive faster, more informed decisions.
"By providing this standardised data transformation, Oracle Health Sciences Data Management Workbench helps significantly increase efficiency by enabling researchers to pool data from multiple studies for programme development and submission," notes the enterprise.
"By increasing data integration and standardising data formats throughout the study process, Oracle Health Sciences Data Management Workbench automates the identification and correction of discrepancies in multi-source data that can jeopardise the validity of a study. As a result, the solution helps reduce costs and accelerate database lock."
Oracle concludes that the standardised data formats used within the system are repeatable and reusable, which reduces the time and cost of trial set-up.
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