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A central monitoring alert identifies a question; it does not establish misconduct or a protocol deviation. Review data maturity, denominators and site context before deciding what action the signal warrants.
Specify the signal
Create a signal specification listing the metric, population, calculation, refresh frequency and reviewer. Distinguish a study-wide quality tolerance limit from a site-level operational alert. Explain why the selected measure could reveal a meaningful risk.
Interpret low event reporting
For unusually low adverse event reporting, examine exposure, visit completion and data entry delay before comparing sites. A signal review record can link the displayed values, discussion, follow-up request and final disposition. Preserve justified decisions to take no additional action.
Signal review checks
- Check whether the denominator is large enough for interpretation.
- Assign clinical review where a signal concerns safety or eligibility.
- Track repeated signals and the outcome of earlier interventions.
Record decisions and learning
Accept a review cycle when every escalated signal has a responsible owner and a documented decision. Update thresholds when study conditions change, retaining the reason and version. Measure whether follow-up improves the underlying process rather than merely reducing dashboard alerts. Preserve the displayed data cut and latest delivery date, allowing later reviewers to distinguish new information from corrections that changed the signal.
Frequently asked questions
- Is an outlier proof of poor performance?
- No. Data timing, population and legitimate clinical differences must be considered.
- Can thresholds change during the study?
- Yes, with justified version control and assessment of how earlier results are interpreted.