Sample Collection, Orchestration and Reconciliation (SCORE)

To address the common barriers, improve clinical trial efficiency, and optimize the use of scientific assets, Virtusa has developed an innovative solution to support digitizing end-to-end sample collection processes that enable automated monitoring and reconciliation of sample collection and reuse of biosample data. The solution is designed in accordance with detailed workflows involved in the sample collection process required by good clinical practice.

Virtusa’s strategic process flow helps clients develop a future state architecture that simplifies sample collection and assists in reconciling the required sample collection against what was collected by the investigator sites. Our solution creates a seamless end-to-end collection process with enhanced automation for improved sample tracking, reduced costs, increased biosample reuse, and faster research requests. Biosample data collection is digitized and automatically categorized for easily accessible sample reports and status updates.

Trial samples and research efforts are optimized with a common sample registry with the use of prescriptive and predictive analytics.

• Combines structured and unstructured data extracted from study protocols and lab manuals by applying natural language processing algorithms to the source files
• Creates a structured plan for visits, subjects, and samples to be collected, and provides a detailed report of all the samples collected
• Creates a series of workflow steps such as verification and data entry through an intuitive user interface and provides a visual
• Dashboard that shows in-progress status, including gaps in the sample collection process
• Stores all data using a common, controlled vocabulary, and leverages the data available for use in future study protocols and to develop an enterprise biosample management plan
• Ability to integrate with both internal and existing clinical research systems
• Faster, more agile development of contracts and lab manuals
• Reduce the burden on highly skilled resources for manual data entry Improved compliance, Improved data quality and integrity for submissions
• Provides end-to-end traceability and consistency,Increased accuracy for total sample volumes with informed consent