Skip to main content
Catch reference mismatches before they become MLR rejection reasons. RefCheckr runs systematic claim-to-reference verification on your document so you can go into formal review with confidence.

​
The problem it solves

A 20-page detail aid with 40 references takes a senior medical writer 2–3 hours to reference-check manually. After three rounds of revision, accuracy drifts: a p-value changes in the text but not the reference table, a claim is reworded and now extends beyond what the source actually says, a reference number shifts and the wrong source gets cited. These are among the most common MLR rejection reasons — and the most time-consuming to fix late in the approval cycle. RefCheckr runs the first-pass verification systematically, flagging mismatches so you can focus your attention on contextual accuracy and completeness, not line-by-line numerical comparison.

​
How to use it

1

Prepare your content

Ensure your document has clear, specific claims with associated reference numbers. RefCheckr works best on near-final content where referencing is already in place.
2

Run RefCheckr

Submit your content and reference materials for verification. RefCheckr compares each claim against its cited source.
3

Review the results

RefCheckr flags claims where support is weak, absent, or mismatched — including numerical discrepancies and claims that go beyond what the reference states.
4

Make corrections

Update claims, references, or both based on the findings. Where a claim legitimately extends beyond a single reference, add the appropriate citation or revise the language.
5

Re-verify if needed

Run RefCheckr again after significant changes to confirm corrections haven’t introduced new mismatches.

​
What it does well

  • Identifies mismatches between claims and cited sources
  • Flags numerical discrepancies — wrong data points, incorrect statistics
  • Highlights claims that go beyond what the reference supports
  • Speeds up reference checking for large documents with high reference volumes

​
What it does not do

RefCheckr is a verification support tool, not a regulatory approval system. A clean result does not mean the document has no referencing issues — it means the automated check found none.
RefCheckr flags potential mismatches for human review. It does not replace the judgement of a qualified medical writer, reviewer, or MLR committee.
RefCheckr checks whether cited references support the claims made — not whether better or more appropriate references exist for those claims.
A human must still assess context, appropriateness, and completeness. Automated verification catches obvious mismatches; expert review catches the rest.

​
Risk tier

RefCheckr is used in high-risk workflows. Its outputs must always be reviewed by a qualified medical writer or reviewer before the document proceeds to formal approval. See the risk levels framework for full context.

​
Workflow integrations

Verify claims against references

Primary use. Systematic claim-to-reference verification as a dedicated pre-MLR QC step.

Extract key messages

Supporting use. Verify that extracted key messages are supported by the underlying source material.

Final human review

Supporting use. Reference accuracy check as part of the final QC gate before submission.

Check promotional compliance

Pair with MedCheckr. Use RefCheckr to verify claim support, then MedCheckr to screen for compliance signals.

Try RefCheckr at PharmaTools.AI

Part of the PharmaTools.AI toolkit for medical writing teams.