Extract clinical events relations
Identify clinical events from clinical documentation, assign assertion statuses, and determine temporal relations.
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 decision support | Patient journey mapping | Predictive risk modeling | Treatment efficacy analysis | Healthcare operational optimization | Longitudinal patient record analysis | Clinical trial patient matching
Delivery
API
Data Sources
proprietary models
Detected Use Cases
healthcare pharmarisk management
Pricing Tiers
Vedex estimate
~$15,000/yr est.
PAIDMEDIUM
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Get an instant price estimate based on your organization profile — seats, usage rights, and contract term.Estimated ~$15,000/yr est.
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Web Authority
High Authority8 mentions·1 platform
Academic Papers
8 × 8 pts+64
Evidence5 sources
Academic Papers
[2503.18085] Temporal Relation Extraction in Clinical Texts
by R Chaturvedi · 2025 · Cited by 4 — Introducing a novel method for joint extraction of medical events and temporal relations from free-text, leveraging clinical LPLMs and ...
Academic Papers
Improving Extraction of Clinical Event Contextual ...
This textual data includes clinical events (e.g., disorders, symptoms, findings, medications and procedures) in context that if extracted ...
Academic Papers
Temporal Relation Extraction in Clinical Texts: A Span- ...
We address the task of extracting clinical events and their temporal relations using the well-studied I2B2 2012 Temporal Relations Challenge ...
Data Dictionary
Expected fields and columns in this data product
About Extract clinical events relations
Extract clinical events relations 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).
Identify clinical events from clinical documentation, assign assertion statuses, and determine temporal relations.
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...