Real-World Data you can trust, at scale.
EHR-derived insights from a federated hospital network. High-quality, validated, cNLP-enriched medical data, supported by a secure European infrastructure.
Our Pillars for High-Quality Real-World Evidence
Federated Analytics
Patient data does not need to leave the hospital. Deployment on-prem or in any cloud (kubernetes).
European Network
Access to a broad EU hospital footprint with on-prem extraction where available; built for multi-country studies.
Clinical NLP
OMOP-ready clinical NLP enriches structured EHR with outcomes, lines of therapy, Adverse Events, staging and more.
Quality Assurance
5 QA checks from intake to insight (completeness, accuracy, clinical validation, medical review, benchmark match).
Our Latest Science
Explore our longitudinal
EHR-extracted data-assets
5.000+ patients*
597 endpoints
± 59% endpoints NLP-enriched
14.000+ patients*
610 endpoints
± 60% endpoints NLP-enriched
20.000+ patients*
598 endpoints
± 62% endpoints NLP-enriched
2.500+ patients*
452 endpoints
± 58% endpoints NLP-enriched
2.500+ patients*
348 endpoints
± 58% endpoints NLP-enriched
44.000+ patients*
235 endpoints
± 45% endpoints NLP-enriched
1.500+ patients*
167 endpoints
± 78% endpoints NLP-enriched
35.000+ patients*
121 endpoints
± 80% endpoints NLP-enriched
Data Quality at the Core
LynxCare’s Sentinel is a robust, OMOP Common Data Model-based system designed to continuously measure, benchmark, and improve EHR-derived datasets for regulatory compliance, collaborative studies, and translational research.
Join Europe’s Trusted
Health Data Network
Unlock real-world evidence with our federated cNLP platform.
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FAQs
Find answers to your questions about our data solutions and services.
On-prem extraction where possible, with relationships directly with hospitals; analyses run locally in a federated model.
OMOP-CDM with clinical NLP for unstructured text; FHIR pipelines at the source.
A broad EU footprint with a growing network of hospitals and access to tens of millions of patient lives for feasibility and recruitment.