Clinical De-identification for Arabic
This pipeline can be used to deidentify PHI information from Arabic medical texts.
API AccessPAID
Est. Price
~$12,000/yr est.
Update Frequency
On-demand
Pricing Tiers
1
Regions
—
Quality SignalsB
Freshness
Recently enriched
Complete
75%
API
API Available
Product Overview
Healthcare NLP & Clinical Data Platform$
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
32
quality per $
Coverage
15
geo × freq × depth
Try-ability
15
ease of trial
Product Details
Use Cases
Clinical research and drug discovery | Population health analytics | Regulatory compliance and GDPR reporting | Medical education and training | Healthcare operational performance improvement | Public health surveillance | Anonymized clinical data sharing
Delivery
API
Data Sources
proprietary models
Detected Use Cases
compliance regulatoryhealthcare pharma
Pricing Tiers
Vedex estimate
~$12,000/yr est.
PAIDMEDIUM
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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 Authority12 mentions·1 platform
Academic Papers
12 × 8 pts+80
Evidence5 sources
Academic Papers
LLMs-in-the-Loop Part 2: Expert Small AI Models for ...
by M Gunay · 2024 · Cited by 8 — Our de-identification NER models, developed in eight languages (English, German, Italian, French, Romanian, Turkish, Spanish, and Arabic) ...
Academic Papers
arXiv:2505.03427v1 [cs.CL] 6 May 2025
by MA Daoud · 2025 · Cited by 23 — However, their efficacy in the Arabic medical domain remains unexplored due to the lack of high-quality domain-specific datasets and benchmarks.
Academic Papers
AraHealthQA 2025: The First Shared Task on Arabic ...
by H Alhuzali · 2025 · Cited by 3 — To address these limitations, AraHealthQA 2025 introduces a new shared task aimed at evaluating and advancing the performance of LLMs on Arabic.
Data Dictionary
Expected fields and columns in this data product
About Clinical De-identification for Arabic
Clinical De-identification for Arabic is an alternative data product offered by John Snow Labs, available on databricks_marketplace. Data is updated on-demand. API access is available for programmatic integration. Vedex estimates pricing at roughly $12,000/yr (an estimate, not a vendor-published price).
This pipeline can be used to deidentify PHI information from Arabic 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...