FAERS Safety Analytics (Now AEMS)

Explore FAERS data with interactive case-report dashboards and bulk statistical signal detection for pharmacovigilance workflows.

As of June 2026, FAERS Safety Analytics (Now AEMS) has 54 users in the Productivity category.

Usersup 58.8 percent+58.8%
54
54
Ratingno change0%
— reviews
Reviewsno change0%
Version
3.0.0
Manifest V3

History

10 snapshots

Tracking since Apr 1, 2026.

55.6843.531.32Apr 1, 2026Jun 8, 2026
View as table
DateUsersRatingReviewsVersion
Apr 1, 2026343.0.0
Apr 9, 2026333.0.0
Apr 20, 2026363.0.0
Apr 25, 2026363.0.0
May 2, 2026403.0.0
May 9, 2026413.0.0
May 19, 2026403.0.0
May 25, 2026433.0.0
Jun 1, 2026493.0.0
Jun 8, 2026463.0.0
Now543.0.0

Permissions & access

Permissions
storage
Host access
https://api.fda.gov/*

Screenshots

FAERS Safety Analytics (Now AEMS) screenshot 1FAERS Safety Analytics (Now AEMS) screenshot 2FAERS Safety Analytics (Now AEMS) screenshot 3FAERS Safety Analytics (Now AEMS) screenshot 4FAERS Safety Analytics (Now AEMS) screenshot 5

About

The Unified FAERS Explorer is a Chrome extension built for pharmacovigilance professionals. It interfaces directly with the FDA Adverse Event Reporting System (FAERS) via the openFDA API to automate safety signal detection and case report aggregation.

The extension consolidates two primary analytical workflows into a single tool.

Dashboard Analysis
Users input a suspect drug and up to five specific adverse events to generate a focused case report dashboard.
1. Calculates Proportional Reporting Ratio (PRR) and Reporting Odds Ratio (ROR) with 95% confidence intervals.
2. Aggregates demographic distributions including patient sex, age group, and reporter qualification.
3. Identifies the top 10 suspect drugs and co-reported events within the queried parameter.
4. Generates a line listing of individual case safety reports exportable to CSV.
5. Supports full-page PDF export for documentation.

Bulk Signal Detection
Users input either a single drug or a single adverse event to execute a bulk query against the FAERS database. The tool performs approximately 500 sequential API calls to identify the most frequently associated terms.
1. Computes statistical disproportionality metrics (ROR and PRR) for the top 500 associations.
2. Filters results to display only statistically significant safety signals where the ROR lower 95% confidence interval exceeds 1.0.
3. Sorts data by case count, PRR, or ROR parameters.
4. Exports complete signal detection tables to CSV for further evaluation.

Technical Specifications
* Queries execute client-side directly to api.fda.gov.
* Supports user-provided openFDA API keys to bypass default unauthenticated rate limits.
* Implements automated rate limiting and exponential backoff to handle HTTP 429 responses during bulk signal detection.
* Stores search history and API keys locally using chrome.storage.local.

Technical

Version
3.0.0
Manifest
V3
Size
3.06MiB
Min Chrome
88
Languages
1
Featured
No

Metadata

ID
onapdobcjoflahhbkdgcoolfoikegcca
Developer ID
u1c9136f523b88dde729902d9cba2b20f
Developer Email
[email protected]
Created
Jul 1, 2025
Last Updated (Store)
Mar 22, 2026
Last Scraped
Jun 8, 2026
Website
Support URL

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Data sourced from the Chrome Web Store · last verified Jun 8, 2026.