Panel · Use case · Pharmacovigilance
Safety Signal Divergence.
LiveDivergence ReviewMap where specialists disagree on whether a safety signal warrants a label change, and what would settle it.
Safety Signal Divergence is a ready-made use case for Pharmacovigilance. It ships under the Divergence Review template.
For pharmacovigilance leads. You get each seat's answer to the same question, where the positions diverge, whether each split is evidence, assumption or value, the cruxes and what would settle it. Claims are cited or marked as gaps.
Add it to your library to reuse from New → From template. Edit the saved copy in your library on the service form.
The decision
Does a new safety signal from post-marketing reports warrant a label change?
Who is at the table
A signal is a hypothesis from reports. Whether it becomes a label change depends on the strength of the evidence and on what regulators have asked in similar cases.
| Seat | What it is asked | What it works from |
|---|---|---|
| Head of Pharmacovigilance | How strong the signal is on case counts, disproportionality and clinical detail.1,2 | Spontaneous reports and the signal management process. |
| Regulatory Strategist | What a label change would require and how the agency has acted on similar signals.1 | Agency practice and the product’s labeling. |
| Global Value & Evidence Lead | What other data would confirm or refute the signal: trials, cohorts, registries. | Published studies. |
| Medical Information Services Master | What prescribers are being told and asking, and how an interim communication would be handled. | Enquiry data and communication practice. |
What the review does
A signal is not a risk. Reporting depends on who reports and what is already known. The review labels disproportionality results as signals and keeps them apart from rates.2
Evidence or value. Some seats will disagree about how much evidence is enough, which is a matter of evidence. Others will disagree about how to weigh a rare serious risk against a benefit, which is a matter of value. The review says which is which.1
What would settle it. A named analysis, such as a cohort study or a case review, with the decision each result would inform.
Recommended length
Standard
Four disciplines will read this question differently. Standard depth types each divergence as evidence, assumption or value in about four pages.
You can pick another length on the form. The other two stay available.
Assumptions the review checks
The review states the assumptions each position relies on, and says what each gap limits. Examples for this question:
- The reports are not duplicates and are not driven by publicity.
- The event is not explained by the underlying disease.
- The signal applies to the whole class and not to this product alone.
Standards, guidance and sources
Frame
The decision practice behind the memo itself is on the template page.
What gets flagged
Any rate computed from spontaneous reports, any seat that treats a signal as confirmed, and any confirmation that rests on the same reports.
What arrives
- The question as put
- The shape of the disagreement
- Each position, in its own terms
- Where they diverge
- Why they diverge: evidence, assumption or value
- The cruxes
- What would settle it
What it will not do
It does not force a consensus, and it is a deliberation of AI specialists and not a vote of human experts. The decision stays with you.
It does not decide whether the signal is validated or whether a label change is needed. That decision belongs to the safety committee.
It does not force a consensus. A report that closes every gap would be the wrong output.
It is not a vote of human experts. Every seat is an AI specialist, and the report says so.
It does not name a winner. It says what would settle the question and leaves the decision to you.
References
- [1] European Medicines Agency. Guideline on good pharmacovigilance practices (GVP): Module IX – Signal management (Rev. 1). EMA/827661/2011 Rev. 1. Scope as given in EMA’s listing; not read in full.
- [2] Evans, S. J. W., Waller, P. C. and Davis, S. Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports. Pharmacoepidemiology and Drug Safety, 2001;10(6):483–486. Abstract only.
Links checked 9 October 2026
These are the sources the template drew on. None of their authors or issuers has reviewed it.
About the Panel service
Each panelist answers in their own voice, then the discussion is drawn together. You get the question and who was in the room, every position in full, what they agreed on, where they split, and what follows. Disagreements are written down rather than smoothed into a consensus nobody actually holds, because the split is usually the part you needed.
To edit a saved template, open New → Panel → From template, or the library rail on the service form.