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Veeva DQS Cleans Data for More Than 1 Million Subjects Across Over 1,000 Studies

VEEV
  • Veeva Systems announced that Veeva DQS has aggregated & cleaned data for over 1 million subjects across more than 1,000 studies to accelerate analysis-ready data delivery.
  • The system has processed over 500,000 automated queries, saving thousands of hours in data reconciliation for sites & sponsors.
  • Novo's VP Ibrahim Kamstrup-Akkaoui cited Veeva DQS as a solution to manage, format, clean, & prepare increasing volumes of clinical trial data efficiently.
  • Veeva DQS supports risk-based strategies recommended in regulatory guidelines like ICH E6(R3) by automating workflows & eliminating manual data reconciliation.
  • Automated data exchange between Veeva DQS & Veeva CTMS enables risk-based quality management (RBQM) by alerting teams to protocol deviations & tracking key risk indicators.
  • The platform utilizes data- & user-aware AI to classify study data, generate reports & listings, & provide role-specific workflows.
  • Veeva DQS strategy lead Pavel Burmenko stated the tool allows sponsors & CROs to automate data workflows at scale across studies of all sizes.
  • The recently announced Veeva Study Builder Agent configures Veeva EDC & Veeva DQS directly from study protocols for faster & more consistent study builds.
  • Veeva Systems serves over 1,500 life sciences customers & will host the Veeva R&D & Quality Summit in Boston on Oct. 20-21.