Regulatory Coordinator
Full course · Regulatory Submissions & Stakeholder Management
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Designs a data aggregation process for final study reports per ICH E6(R3) Annex 1, Section 2.13, applies a standardized report template enabling CRC delegation with RC oversight, and analyzes common errors with QC review implementation.
A Phase III oncology trial runs for four years. It enrolls 87 participants at the site. Three different CRCs manage the study over its lifetime — one who handled the first two years, a second who covered a 14-month stretch in the middle, and a third who managed the final enrollment push and close-out. The study generated 11 protocol deviations, 47 adverse events (four serious), and contributed to a clinical outcome dataset that supported a New Drug Application.
Now the IRB wants a final report. And the RC is responsible for ensuring that this document — which must summarize four years of data accurately, completely, and in the IRB's required format — is assembled, reviewed, and submitted within the IRB's close-out timeline.
This is not the same as preparing a continuing review report, though the data streams overlap. The continuing review summarizes a period — the last 12 months, typically. The final report summarizes everything. Every participant enrolled. Every deviation documented. Every adverse event reported. Every outcome recorded. It is the cumulative record of the study's conduct at the site, and it is the last regulatory document the site will produce for this protocol.
The challenge is not complexity of any individual data element. The challenge is aggregation. The data lives in different systems — the CTMS, the electronic data capture system, the regulatory binder, the deviation log, the adverse event database. Some of it was entered by a CRC who left the institution two years ago. Some of it was documented in a format that the site has since changed. And all of it must be reconciled into a single, coherent document that the investigator can sign with confidence.
Module 3, Lesson 2 established the data aggregation pattern for continuing review packages — the modular template approach that standardizes data collection across studies. This lesson extends that pattern to the final report, where the aggregation challenge is larger in scope and the consequences of error are more durable. A mistake in a continuing review can be corrected in the next cycle. A mistake in the final report is the permanent record.
What you will learn3 objectives
By the end of this lesson, you will be able to:
Progress saves itself — finish reading and this lesson completes
