White Paper
Demystifying AI/ML for Data Management
IQVIA's novel innovation framework drives study start-up success
Mar 27, 2023

Successful use of artificial intelligence and machine learning (AI/ML) to add value in clinical data management demands a clear data strategy. Having a robust data flow, delivering faster, better and more cost-effectively, enabling data to be used as a fuel to drive clinical development.

IQVIA's combination of a digitized process, centralized data, and standards. A clear data strategy is key to a distinctive data flow that helps deliver faster, better and more cost-effectively – using data as a fuel to advance clinical development. Integrating AI/ML capabilities to provide intelligent automation results in higher quality and more efficient digitized processes. Intelligent automation can be used to drive productivity in study start-up activities such as EDC design & build based on a connected ecosystem, with a sound approach to risk mitigation taking into account data-, model-, and knowledge-related factors. All these advances can support life science industry efforts to optimize data management to further improve patient health and safety.

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