The Challenge: Clinical Query Data Without Actionable Insight
Clinical trials are inherently complex, and ensuring data accuracy is a critical challenge exacerbated by high query volumes and variable performance across clinical sites. The customer, a clinical-stage pharmaceutical company, struggled to extract actionable business insights from the extensive clinical query data housed in their Veeva Electronic Data Capture (EDC) system. Key questions—such as the time required for database lock or the root causes of persistent queries—remained unanswered due to siloed data and manual processes.
Without a unified view, clinical operations teams had no reliable way to see which sites and users were driving query volume, how long resolution actually took, or where to focus remediation. The result was slow, manual data review and trial timelines that were harder to plan and protect.
The Approach: An AI-Powered, SaaS Query Monitoring Solution
To address these challenges, USDM developed an AI-powered, SaaS-based solution tailored to streamline and enhance clinical query management. Because the solution operated on regulated clinical data, it was designed with data integrity and 21 CFR Part 11 expectations in mind from the outset. The solution included:
Holistic Query Analytics
By integrating metadata from EDC and other potential sources, the solution provided:
- Query Metrics: Operational insights, such as query turnaround times and volume trends, for continuous improvement.
- Query Causes: Deep-dive analysis into root causes by event, form, and field, enabling optimized protocol and EDC designs.
- Query Agents: Identify key contributors and highlight high-performing and underperforming site users and study team members.
Conversational AI Capabilities
Users could gain actionable insights by asking questions like:
- "How many unresolved queries remain?"
- "What impact does site performance variability have on query resolution times?"
- "Which actions will expedite the resolution of critical queries?"
Predictive Analytics
Forecasting tools enabled:
- Data cleaning workload predictions based on historical trends.
- Accurate estimations of time required to lock databases, enhancing project planning and resource allocation.
Actionable Intelligence
Beyond insights, the solution prioritized actions to:
- Optimize focus areas for Clinical Research Associates (CRAs) and site teams.
- Address staffing or training deficiencies at underperforming sites.
- Pinpoint and address inefficiencies in query resolution workflows.
Deploying AI against trial data this way depends on disciplined AI governance and compliance, so model outputs stay traceable, validated, and audit-ready throughout the study lifecycle.
The Results: Visibility, Efficiency, and Faster Timelines
By implementing USDM's AI-driven solution, the customer achieved transformative improvements:
- Enhanced Performance Visibility: Clinical operations teams could easily identify high- and low-performing sites, enabling targeted interventions.
- Improved Efficiency: Reducing manual data review time by 50-60%, saving 200-500 hours per study.
- Accelerated Timelines: Trial timelines decreased by 10-15%, equating to 2-6 months for multi-year studies.
- Optimized Data Cleaning: The customer could predict and manage data cleaning workloads more effectively, leading to faster database locks.
- Increased Regulatory Speed: The improvements in data accuracy and process efficiency contributed to a 15-25% acceleration in regulatory approval timelines.
Time to Value
USDM's solution demonstrated rapid implementation, achieving full deployment within 28 days. This ensured the customer could quickly realize value and build on their success by expanding use cases, such as missing page reporting and user-level performance analytics. Sustaining these gains over time is where a continuous compliance mindset keeps validated analytics performing reliably as protocols, sites, and study data evolve.
USDM helps life sciences organizations maintain, optimize, and continuously improve their Veeva Vault platforms through expert advisory services, managed application support, and Cloud Assurance — turning Vault from a system of record into a platform that accelerates business operations. With 250+ Veeva projects and 25 years of regulatory expertise across 900+ organizations, USDM delivers post-implementation governance, compliance readiness, automated testing, and operational support that reduces technical debt and drives measurable gains like 20-40% faster document approvals and up to 50-80% reduction in security profiles.
The takeaway: intelligent query monitoring turned trapped EDC metadata into a clear view of site and user performance—cutting manual review by 50-60%, saving 200-500 hours per study, and accelerating trial and regulatory timelines, all within 28 days of deployment.
Additional Veeva Resources
Datasheet: Veeva Advisory Datasheet
White Paper: Is Your Veeva Vault Operating Model Ready for AI?