Why Spreadsheet-Led Signal Review Slows Pharmacovigilance Teams Down

Most pharmacovigilance teams didn't choose spreadsheets for signal review — they grew into them. A workbook here for the latest data cut, an email thread there for evidence, a separate document for the write-up. It works, until the portfolio grows and every cycle repeats the same manual steps.

Where the time actually goes

The slow parts of signal review are rarely the statistics. They're the handoffs around them:

• ▹Re-shaping each new data cut into a usable structure before any analysis can start.
• ▹Re-deriving disproportionality (PRR, ROR, EBGM/IC) the same way every cycle, by hand or with one-off scripts.
• ▹Hunting for the evidence that supported a previous decision — often scattered across inboxes and drives.
• ▹Reconstructing what was reviewed, by whom, and why, when an audit or inspection asks.

The hidden cost: traceability

A spreadsheet can hold numbers, but it struggles to hold a defensible history. When the decision trail lives across disconnected files, proving how a signal moved from detection to assessment to recommendation becomes its own project — exactly when you can least afford it.

What a governed workflow changes

A purpose-built signal management platform doesn't replace the reviewer's judgement — it removes the friction around it. Controlled intake makes every run structured and repeatable. Detection methods are transparent and consistent. Evidence sits beside the signal under review. And an append-only history means the trail is there whenever it's needed.

The result isn't faster conclusions — it's less time lost to mechanics, and more confidence that the review can be reconstructed and defended. Final signal assessment stays exactly where it belongs: with qualified PV and medical reviewers.