CRF design & clinical data collection
Clinical input that turns the protocol into data collection a reviewer can actually use.
What this involves
- Protocol-to-CRF traceabilityObjectives, assessments, eligibility and follow-up mapped to planned fields and collection schedule, with gaps, duplication and ambiguity identified.
- Oncology endpoint dataThe information that tumor assessments, response criteria, progression dates, subsequent therapy and survival status depend on.
- Safety and treatment contextDosing, interruptions and reductions, adverse-event onset and outcome, causality and reasons for discontinuation, collected so that they connect.
- Site burden and clarityCompletion guidance and form design that reduce avoidable queries.
- Review requirementsThe listings and consistency checks medical reviewers will need once data arrive.
Why it matters in oncology
A CRF can reproduce every protocol requirement and still omit the context a reviewer needs: a missing treatment date, an ambiguous response field, a discontinuation reason that cannot be linked to an event. These problems surface months later, when the database is large and each fix is a query or a change request.
In oncology, where endpoints depend on dates and sequence, avoidable ambiguity becomes an analysis assumption.
When to involve us
- Before database release,when draft CRFs and completion guidance are ready for review.
- Connecting protocol endpointsto the data needed to interpret them.
- Investigating repeated queries,missing context or heavy site-entry burden.
- Remediating forms during conduct,when a gap has been found.
How we approach it
- Trace each key endpoint backward to the data points it depends on.
- Walk a patient scenario through the forms, including a dose reduction, a treatment break and a progression.
- Comment on forms and guidance with the clinical reason for each change.
- Specify the review listings and consistency checks that follow from the design.
What you receive
- Annotated clinical comments on CRFs and completion guidance
- A protocol-to-data traceability review
- A prioritized register of collection gaps and ambiguities
- Clinical requirements for review listings and selected consistency checks
Working together
- StructureA clinical CRF review, a design workshop with data management, or a defined remediation exercise during study conduct.
- What we need from youThe protocol, draft CRFs, completion guidelines, data definitions and the proposed medical-review approach.
- Roles and limitsClinical requirements are developed with data-management, biostatistics and programming colleagues. EDC configuration, standards implementation, database validation and release belong to your technical owners.
Questions
Do you build or validate the EDC database?
No. The service provides clinical design and review input. Build, validation and release are coordinated with your data-management and technology providers.
Can you review CRFs after the study has started?
Yes. A mid-study review can identify what is missing, what can be fixed prospectively and what the analysis will need to assume.
Discuss this service.
Tell us about the program, the question and the timing. We will respond about fit, expertise and next steps.
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