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
Risk-Based 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
