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Veeva DQS: Transforming Clinical Data Management

Veeva Systems (NYSE: VEEV) has made significant strides in the realm of clinical data management through its cutting-edge Data Quality System (DQS). Recently, the company announced that Veeva DQS has successfully aggregated and cleansed data from over 1 million study participants across more than 1,000 clinical trials. This innovative approach not only ensures the accuracy of clinical data but also accelerates the delivery of actionable insights from these studies.

Saving Time and Resources with Automation

The automation capabilities of Veeva DQS are perhaps its most striking feature. By processing more than 500,000 automated queries, this system has managed to save clinical teams countless hours that were previously spent on manual data validation and reconciliation. "A major focus for us is addressing the increasing volume of data driven by our growing number of clinical studies," commented Ibrahim Kamstrup-Akkaoui, Vice President at Novo. He emphasized how Veeva DQS aids in managing, formatting, cleaning, and preparing data for submission efficiently.

Next-Generation Clinical Data Management

Veeva DQS represents a shift towards a next-generation model for clinical data management. With advancements aligned with regulatory guidance, including ICH E6(R3), the system supports risk-based strategies that are becoming critical in today’s healthcare landscape. These innovations enable clinical teams to achieve high-quality data more rapidly, allowing for enhanced real-time decision-making.

Key Innovations:
1. Automated Data Workflows: Veeva DQS automates the intricate processes involved in data workflows, classifying, visualizing critical data, and controlling the coordination of risk-based actions across the clinical ecosystem. This eliminates the need for repetitive manual checks.
2. Risk-Based Quality Management (RBQM): The automated data exchange between Veeva DQS and Veeva CTMS improves risk-based monitoring. Teams in clinical operations are promptly notified of essential data changes, such as protocol deviations, thus enabling them to capture and act on Key Risk Indicators (KRIs) effectively.
3. AI-Driven Data Classification: The inclusion of artificial intelligence for data classification accelerates the processing of study data while capturing its purpose and criticality. The system can auto-generate documents, including reports and listings, while also providing tailored user experiences and workflows based on specific roles.

A New Era of Data Management

“Due to the increasing number of data sources and complexity of study protocols, sponsors and contract research organizations (CROs) are leveraging Veeva DQS for large-scale automation of data workflows across studies of all sizes,” explained Pavel Burmenko, head of the Veeva DQS strategy. He noted that Veeva DQS marks the onset of a new era in data management, one that coordinates risk-based reviews and elevates the role of data managers to strategic partners in the clinical development process.

Upcoming Innovations

In a recent announcement, Veeva introduced the Study Builder Agent, designed to streamline the build of studies directly from protocols. This tool enhances the efficiency and cohesion of study setup processes. Furthermore, and highlighting the importance of these advancements, Veeva DQS was recognized with the SCDM Innovation Award for its extraordinary contributions to clinical data innovations.

Join industry professionals and learn more about these groundbreaking developments at the Veeva RD and Quality Summit taking place from October 20 to 21 in Boston, an exclusive event for life sciences experts.

About Veeva Systems

Veeva Systems is renowned for providing industry-specific cloud solutions, applications, data, and consulting for the life sciences sector. The company prioritizes innovation, product quality, and customer success, serving over 1,500 clients, including some of the largest pharmaceutical names and emerging biotech firms. As a Public Benefit Corporation, Veeva commits to balancing the interests of all stakeholders, including customers, employees, investors, and the broader industry it operates in.

For further insights into Veeva DQS and its transformative impact on clinical data management, visit veeva.com/eu.