Explore the risk-based monitoring solution from TCS ADD™
Platform live for: 300+ studies | 6,000+ global users | 30,000+ sites
Dynamic Monitoring in clinical trial oversight co-hosted with Janssen
Thought leaders from AbbVie, BMS, Janssen, MSD, Triall & TCS presented their views on the role played by predictive analytics in dynamic monitoring and oversight of clinical trials.
Components implementable separately or in combination
Scalable as per the business requirement
Deployable standalone or on top of existing solutions
Cross-solution integrable with other TCS ADD offerings
Challenge
Quicker data-driven decisions and faster study start-ups are the order of the day
From selecting the right site and carrying out its real-time monitoring to analyzing fragmented data and applying predictive analytics for trial-specific use cases, life sciences organizations are unable to realize value and insights from the current processes. A solution that leverages AI and ML to enable faster study start-ups and achieve targeted study interventions is the need of the hour.
Our Solutions
The adaptive, data science-led collaborative platform enables risk-based quality management driven by predictive analytics and facilitates early detection of risks and proactive monitoring strategies.
Helps with integrated risk assessment and categorization
Provides a configurable library of 40+ KRI/KPI
Provisions real-life predictive analytics basis a model trained on historical data
Improves overall compliance and efficiency through intelligent decision-making
The Clinical Data Fabric solution provides a unified, interoperable, harmonized, and AI/ML-driven foundation for all data types, such as clinical, operational, and scientific data to enable a centralized framework for driving complex use cases
The AI- and ML-based advanced and integrated solution enables seamless monitoring of the patient’s medical data using intelligent and automated clinical analytics for timely decision-making.
The solution enables a dynamic approach to site-selection by collating past and current site-performance data supported with the right patient, facilities, and other parameters.
Enables automated site-ranking and tiers
Incorporates indication, protocol, and site feasibility modules
Provisions flexible and dynamic feasibility plans
Facilitates integrated e-surveys