Missing Pages Report: Improving a Key Metric for the Health of a Study
A leading life sciences organization focused on clinical research and development needed a faster, more accurate way to know which clinical trial pages were truly missing. USDM applied an AI-driven approach that turned a manual, error-prone task into a precise, automated process — cutting effort, saving cost, and accelerating database lock.
The Challenge
During the conduct phase of clinical trials, the organization faced significant challenges managing critical data:
- Data Gaps: Missing or incomplete data in Case Report Forms (CRFs) and electronic CRFs (eCRFs) hindered trial progress and database locking.
- Unclear Visit Data: Difficulty distinguishing between genuinely missing pages and visits that did not occur created inefficiencies.
- Study Complexity: Dynamic and study-specific designs in modern electronic data capture (EDC) systems complicated data reconciliation and reporting.
- Operational Strain: Manual compilation of missing pages reports consumed significant resources and was prone to error, causing miscommunication and frustration among site staff and clinical teams.
Left unaddressed, these gaps put both timelines and data integrity at risk — the foundation of any audit-ready, 21 CFR Part 11-compliant study record.
The USDM Approach
USDM applied an innovative AI-driven approach to create a comprehensive and accurate Missing Pages report tailored to the unique demands of clinical trials. Key features of the solution included:
- AI-Based Inference: Leveraged AI to analyze datasets and infer whether visits occurred based on available data, eliminating false positives for missing pages.
- Dynamic Data Integration: Incorporated study design logic to accurately determine whether certain forms or pages should be expected, based on patient-specific criteria and study events.
- Multi-Source Analysis: Combined data from EDC systems with non-EDC sources, such as lab results, to cross-validate patient activity and detect genuine data gaps.
Because the solution reasons over study data rather than replacing the system of record, it fits naturally within a Computer Software Assurance mindset — risk-based validation focused on what actually impacts data quality. Sound AI governance and compliance practices keep the inference layer transparent and defensible for regulators.
The Results
1. Operational Efficiency
- Reduced manual effort in compiling missing pages reports by 80%, saving approximately 1,500 hours annually.
- Enabled faster database readiness for locking, accelerating trial timelines by 25%.
2. Data Accuracy and Compliance
- Achieved 100% accuracy in identifying genuinely missing pages versus expected absences, minimizing miscommunication.
- Improved compliance by ensuring data managers focused only on actionable gaps.
3. Cost Savings
- Saved an estimated $200,000 annually in operational costs by automating the missing pages process.
- Reduced costs associated with extended trial durations through quicker decision-making.
4. Improved Stakeholder Experience
- Enhanced coordination between Clinical Operations teams, CRAs, and site staff by eliminating redundant data queries.
- Reduced frustration and improved morale by preventing unnecessary demands for non-existent or irrelevant data.
Strategic Takeaways
USDM’s AI-driven solution transformed the clinical trial data management process for this life sciences company. By addressing data challenges with precision and automation, the organization achieved faster, more cost-effective trials while enhancing collaboration across teams. This case demonstrates the critical role of AI in modern clinical research, enabling organizations to make data-driven decisions and accelerate innovation. Sustaining those gains as systems and regulations evolve is exactly where continuous compliance keeps validated, AI-assisted workflows production-ready over time.
Why USDM?
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.
Additional Veeva Resources
Datasheet: Veeva Advisory Datasheet
White Paper: Is Your Veeva Vault Operating Model Ready for AI?