FDA Drug Adverse Events Reporting System FAERS 2020
The Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) data package contains information on med..
API Access
Est. Price
~$5,000/yr est.
Update Frequency
Annually
Pricing Tiers
1
Regions
1
Quality SignalsB
Freshness
Recently enriched
Complete
75%
API
API Available
Product Overview
Healthcare NLP & Clinical Data Platform$
Offering: A comprehensive suite of NLP-based clinical entity recognition models and structured healthcare datasets for pharmacovigilance, clinical research, and population health analytics.
Best for: Healthcare data scientists and clinical researchers building automated pipelines for medical record de-identification and drug safety monitoring.
Benefits
- Extensive library of pre-trained clinical NLP models
- Multi-language support for clinical de-identification
- High-granularity SDoH and clinical entity extraction
- Cost-effective pricing compared to enterprise-scale healthcare data platforms
Drawbacks
⚠ Limited longitudinal patient journey tracking compared to Komodo Health · ⚠ Requires technical integration via API rather than turnkey dashboard solutionsProduct Intelligence
Value Score
33
quality per $
Coverage
12
geo × freq × depth
Try-ability
20
ease of trial
Product Details
Use Cases
Pharmacovigilance signal detection | Pharmaceutical competitive intelligence | Regulatory compliance monitoring | Clinical trial safety benchmarking | Healthcare investment risk assessment | Drug safety trend analysis | Post-market product performance evaluation
Coverage
United States
Delivery
API
Detected Use Cases
competitive intelligencecompliance regulatoryhealthcare pharmarisk management
Pricing Tiers
Vedex estimate
~$5,000/yr est.
SUBSCRIPTIONMEDIUM
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Get an instant price estimate based on your organization profile — seats, usage rights, and contract term.Estimated ~$5,000/yr est.
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Web Authority
Notable7 mentions·3 platforms
Academic Papers
3 × 8 pts+24
LinkedIn
2 × 2 pts+4
Blogs & Newsletters
2 × 2 pts+4
Evidence5 sources
Academic Papers
MDDC: An R and Python Package for Adverse Event ...
In this paper, we introduce an R and Python package that implements a novel pattern discovery method for postmarketing adverse event identification.
Academic Papers
a pharmacovigilance analysis of the FAERS da
the FDA Adverse Event Reporting System (FAERS) database between January 1, 2016 and June ... study, we focused on adverse drug reactions associated with FDA ...
Academic Papers
Protein Kinase Inhibitors as a Case Study
Finally, we distill drug safety profiles from case reports managed in the FDA Adverse Event Reporting System (FAERS) U.S. Food and Drug ...
Data Dictionary
Expected fields and columns in this data product
About FDA Drug Adverse Events Reporting System FAERS 2020
FDA Drug Adverse Events Reporting System FAERS 2020 is an alternative data product offered by John Snow Labs, available on databricks_marketplace. Data is updated annually. API access is available for programmatic integration. Vedex estimates pricing at roughly $5,000/yr (an estimate, not a vendor-published price).
The Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) data package contains information on med..
About John Snow Labs
John Snow Labs is a data provider vendor based in Wilmington, Delaware, USA. The model is a powerful tool for extracting SDoH entities from clinical text. It was specifically trained to identify the conditions in which people are born, grow, live, work, and age that impacts th...