The Challenge
During the rapid development of a critical vaccine, the biotech customer experienced an unprecedented explosion in clinical trial operations. As a result, TMF documentation volume grew significantly faster than existing manual processes could support.
To handle this massive scale, the customer leaned heavily on multiple Contract Research Organizations (CROs) to run trials. However, their Trial Master File (TMF) completeness tracking—a strict requirement for proving FDA compliance and oversight—relied on manual, Excel-based missing document logs. At peak, the customer and their CROs were juggling three simultaneous, disconnected missing document logs — one maintained by the internal team, one by the quality review vendor, and one by the CROs — with no unified system of record. This led to:
- Misaligned, concurrent review cycles across the internal team, quality review vendor, and CROs — each running continuously but on different cadences, creating confusion, duplicated findings, and no single view of true TMF completeness status.
- No reliable picture of true completeness status — missing document logs tracked issues separately from Vault, so reported metrics never reflected reality. Queries regularly sat unresolved and were sometimes forgotten entirely. On large studies, the standard 15-day resolution window was routinely insufficient, with timeline extensions regularly requested. Missing document log turnaround across the full cycle stretched to up to 3 months.
- Widespread accountability gaps — Functional Area Representatives were frequently unaware they had any eTMF document upload responsibilities. Documents were being submitted through QC review workflows even when QC was not required, clogging the pipeline. In-progress documents were routinely flagged as missing, inflating the apparent problem. There was no defined process for closing unresolvable missing document queries.
The Solution
To eliminate the spreadsheet chaos, we designed and deployed a custom solution directly within the customer’s existing Veeva Vault eTMF system.
The implementation included:
- Custom Review and Completeness Tracking Configuration: Configured and deployed a milestone framework and workflow sequence to capture periodic review activities. Configured Vault Quality Issues to capture missing documents directly in the system, bringing completeness tracking and quality findings into a single, unified record alongside all other document quality issues.
- Collaborative Development: Ran dedicated discovery and validation workshops with each CRO stakeholder group individually — including separate sessions with each CRO — in addition to the customer’s internal team, ensuring each group’s distinct workflows and concerns were captured before configuration began.
- Comprehensive Enablement: Delivered training materials, led training sessions, and executed a change management plan that included pilot testing and a hypercare phase.
- CRO Integration: Expanded capabilities so CROs could run their own ongoing TMF completeness checks in the same environment, establishing a single source of truth.
Business Outcomes
By moving TMF oversight out of spreadsheets and into Veeva Vault, the customer transformed their clinical documentation process:
- Total Visibility & Actionable Data: Where three disconnected Excel missing document logs once required manual reconciliation across teams — with issues regularly forgotten or unresolved for months — the customer now has a single, real-time audit trail in Vault with trackable cycle times, resolution justifications, and automated task assignment to document owners.
- A Holistic Picture of TMF Health: By leveraging Vault Quality Issues to capture missing documents directly in the system — rather than in a separate spreadsheet — the customer’s Quality Issues now reflect a complete picture of both completeness and quality in one place. For the first time, stakeholders could see outstanding missing documents and document quality findings side by side, in real time, without reconciling multiple external logs.
- Targeted Improvements: Previously, there was no systematic way to identify which functional groups were the source of chronic delays or erroneous queries. Native Vault metrics now surface exactly that — turning what was anecdotal frustration into targeted, evidence-based training and accountability interventions.
- Massive Efficiency Gains: CROs and the internal team, who had previously been running siloed review cycles with limited coordination, now operate within the same Vault environment — able to schedule and stagger their own periodic reviews using identical functionality.
- High User Satisfaction: End users across the customer’s internal team and both CROs successfully adopted the new in-Vault process, replacing a manual workflow that users described as cumbersome, overwhelming, and impossible to work in simultaneously across teams.
Is Spreadsheet Chaos Slowing Down Your Clinical Trials?
For eTMF leaders at biotech companies managing multi-CRO trials under inspection readiness pressure, fragmented Excel-based trackers are more than an inconvenience — they are a compliance liability. USDM Life Sciences specializes in transforming eTMF oversight by replacing manual, siloed processes with unified Veeva Vault workflows. If your team is managing disconnected processes, misaligned review cycles, or limited visibility into TMF completeness across your portfolio, contact USDM today to better optimize your Veeva Vaults and get more out of your investments.
We can also help you take the next step: designing and rolling out a Quality by Design TMF oversight framework that moves your organization from reactive compliance to real-time inspection readiness. And as AI capabilities continue to evolve, USDM is positioned to help you explore how AI can further streamline eTMF operations — from intelligent document classification and completeness monitoring to proactive identification of filing gaps before they become inspection findings.
Download USDM’s white paper, Building an AI-Ready Veeva Vault Operating Model, to get the roadmap for building an AI-ready operating model that reduces validation overhead, minimizes compliance risk, and keeps you inspection-ready.
