Extract Clinical Findings and their UMLS Codes
This model is designed for seamless mapping of clinical findings to their corresponding UMLS Concept Unique Identifiers
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 trial patient cohort selection | Automated medical coding for billing | Population health trend analysis | Electronic health record interoperability | Clinical decision support system enhancement | Healthcare quality assurance reporting | Longitudinal patient outcome research
Delivery
API
Data Sources
proprietary models
Detected Use Cases
healthcare pharma
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.
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Web Authority
Notable8 mentions·2 platforms
Academic Papers
4 × 8 pts+32
Blogs & Newsletters
4 × 2 pts+8
Evidence5 sources
Academic Papers
Synthetic Clinical Notes for Rare ICD Codes
We evaluate the impact of synthetic data augmentation on state-of-the-art ICD coding models using the MIMIC-III-Full dataset (8,929 codes).
Academic Papers
RelCAT: Advancing Extraction of Clinical Inter-Entity ...
This study introduces RelCAT (Relation Concept Annotation Toolkit), an interactive tool, library, and workflow designed to classify relations between entities ...
Academic Papers
Clinical QA 2.0- Multi-Task Learning for Answer Extraction ...
We introduce a Multi-Task Learning (MTL) framework that jointly trains CQA models for both answer extraction and medical categorization.
Data Dictionary
Expected fields and columns in this data product
About Extract Clinical Findings and their UMLS Codes
Extract Clinical Findings and their UMLS Codes 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 model is designed for seamless mapping of clinical findings to their corresponding UMLS Concept Unique Identifiers
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...