Clinical De-identification for German
This pipeline can be used to deidentify (mask or obfuscate) PHI information from German medical texts.
API AccessPAID
Est. Price
~$15,000/yr est.
Update Frequency
—
Pricing Tiers
1
Regions
—
Quality SignalsB
Freshness
Recently enriched
Complete
63%
API
API Available
Product Overview
Healthcare NLP & Clinical Data Platform$
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
25
quality per $
Try-ability
15
ease of trial
Product Details
Use Cases
Clinical research data preparation | Regulatory compliance reporting | Secondary use of health records | Pharmaceutical drug development | Medical education and training | Population health analytics | Secure multi-institutional data sharing
Delivery
API
Data Sources
proprietary models
Detected Use Cases
compliance regulatoryhealthcare pharma
Pricing Tiers
Vedex estimate
~$15,000/yr est.
PAIDMEDIUM
Add to Data Room
Get an instant price estimate based on your organization profile — seats, usage rights, and contract term.Estimated ~$15,000/yr est.
Request a sample directly from John Snow Labs.
Web Authority
High Authority13 mentions·2 platforms
Academic Papers
10 × 8 pts+80
LinkedIn
3 × 2 pts+6
Evidence5 sources
Academic Papers
A Multilingual Anonymization Benchmark with Annotations ...
Hahn (2019) Annotating german clinical documents for de-identification. Vol. 264, pp. 203–207. External Links: Document Cited by: §1, §2, §3 ...
Academic Papers
Surveying LLM-based De-identification and Quantifying ...
De-identification in the healthcare setting is an application of NLP where automated algorithms are used to remove personally identifying ...
Academic Papers
Clinical Document Corpora – Real Ones, Translated and ...
by U Hahn · 2024 · Cited by 4 — De-identifying GraSCCo: a pilot study for the de-identification of the German Medical Text Project (GeMTeX) corpus. In: German Medical Data Sciences 2024.
Data Dictionary
Expected fields and columns in this data product
About Clinical De-identification for German
Clinical De-identification for German 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 $15,000/yr (an estimate, not a vendor-published price).
This pipeline can be used to deidentify (mask or obfuscate) PHI information from German medical texts.
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...