Challenge
Worldwide, life sciences organizations face numerous inefficiencies in their clinical trials process due to the absence of a centralized information repository, and with data present in diverse systems and formats and over-reliance on human memory. From selecting the right site and monitoring on a real-time basis to analyzing fragmented data and applying predictive analytics for trial-specific use cases, organizations have been unable to realize value and insights from the current clinical trials process.
TCS Solution
The TCS ADD Analytics and Insights platform applies AI and ML to provide predictive use cases, such as adaptive monitoring and site feasibility, for quicker data-driven decisions. It provisions the following solutions:
Clinical Data Fabric
- Smart data ingestion from more than 15 sources
- Unified orchestration engine and data harmonization through metadata
- Big data architecture enables interoperability
Data-Driven Feasibility
- Site data hub provides master site data management and repository
- Data-driven site selection with site ranking and tiers
- Engage countries and KOLs early through custom workflows
- Integrated web-based survey modules
- Ingestion of external data sources
Adaptive Monitoring
- Clinical analytics provides risk-based study execution and oversight
- AI/ML driven predictive analytics for site workload and risk management
- Insights on study performance management across more than 40 metrics
- KRI using statistical models/algorithms
Benefits
- Reduction in site monitoring costs by 20%
- Improved efficiencies and data access to integrated task lists
- Improved data quality and integrity
- Reduced workload due to automation
- Accelerated submission process of product to market
