Clinical De-identification (EN)
Mask or Obfuscate Personal Health Information (PHI) in English clinical notes.
API AccessPAID
Est. Price
~$12,000/yr est.
Update Frequency
—
Pricing Tiers
1
Regions
—
Quality SignalsB
Freshness
Recently enriched
Complete
63%
API
API Available
Product Overview
Healthcare NLP & Clinical Data Platform$
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
26
quality per $
Try-ability
15
ease of trial
Product Details
Use Cases
Clinical research and drug discovery | Healthcare operational analytics | Population health management | Regulatory compliance reporting | Medical education and training | Insurance claims processing | Longitudinal patient outcome studies
Delivery
API
Data Sources
proprietary models
Detected Use Cases
compliance regulatoryhealthcare pharmainsurance
Pricing Tiers
Vedex estimate
~$12,000/yr est.
PAIDMEDIUM
Add to Data Room
Get an instant price estimate based on your organization profile — seats, usage rights, and contract term.Estimated ~$12,000/yr est.
Request a sample directly from John Snow Labs.
Web Authority
High Authority7 mentions·2 platforms
Academic Papers
6 × 8 pts+48
LinkedIn
1 × 2 pts+2
Evidence5 sources
Academic Papers
Enhancing Clinical Models with Pseudo Data for De- ...
by P Landes · 2025 — In this work, we pretrain several encoder-only models on a dataset that contains redacted text and a version with replaced realistic pseudo text.
Academic Papers
DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4
In this work, we developed a novel GPT4-enabled de-identification framework (“DeID-GPT”) to automatically identify and remove the identifying information.
Academic Papers
Automated De-Identification of Large Real-World Clinical ...
by V Kocaman · 2023 · Cited by 14 — This paper summarizes lessons learned from building a system used to de-identify over one billion real clinical notes, in a fully automated way, ...
Data Dictionary
Expected fields and columns in this data product
About Clinical De-identification (EN)
Clinical De-identification (EN) is an alternative data product offered by John Snow Labs, available on databricks_marketplace. API access is available for programmatic integration. Vedex estimates pricing at roughly $12,000/yr (an estimate, not a vendor-published price).
Mask or Obfuscate Personal Health Information (PHI) in English clinical notes.
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...