For MAHs. Literature monitoring. Shared signals.
Pharmacovigilance collaboration for MAHsShare screening and signals.
You must monitor the literature. So must every other MAH. Often you read the same articles. OpenSafety.iO lets you share screening results and signal clues. You still own your cases and filings.
Live preview
Live workspace preview
Read the literature. Check FAERS. Compare. Share notes. Each MAH still owns its own decisions.
Example output
Signals: reviewedSafety-related text
Pulls text that may matter for cases or labels. Not just keyword matches.
Traceable to the source
Links back to the article. Reviewers can show their work.
Built for regulated work: traceable notes, shared screens where policy allows, human sign-off.
Meet the rules
You still monitor literature. You can reuse others’ screens when your policy allows. Less repeat work.
Your duty stays yours
Sharing notes does not move legal duty. Your QPPV and medics still sign off.
Help, not autopilot
AI can triage first pass. Humans still decide causality and filings.
Signals in one place
Put literature and FAERS next to each other. Wider view. Same audit trail.
All tools in one place
PubMed, libraries, FAERS, cross-check. Built to work together.
Three steps
Screen articles. Check FAERS. Compare and file notes.
Step 01
Screen articles
Find cases and label issues. Save structured notes. Share when rules allow. Others skip duplicate reads.
Step 02
Check FAERS
Add spontaneous data next to literature. Look for patterns. Remember duplicate reports and unknown use.
Step 03
Compare and document
Line up articles, shared notes, and FAERS text. One record for medics and audits.
Try the flow
PubMed. FAERS. Cross-ref. Same as a real review pass.
What you get
- Text flagged for cases or labels
- Notes with PMID
- Export for your signal file
Built for real PV work
You must trace your steps. The app keeps queries, notes, and FAERS in one place. Audits get easier.
Show your sources
Tie answers to PMIDs and FAERS pulls. Not loose spreadsheets.
Share work, not blame
Less repeat reading. Each MAH still decides and files for itself.
Data has limits
FAERS is biased. Articles miss things. We do not fake incidence or causality.
Common questions
Short answers. Ask support if you need more.
Frequently asked questions
Start your workspace
Share screening. Cut duplicate reads. Keep your own filings. Open an account to begin.