
Hospital Network
Network Value
Quality First
Quality-checked and clinically validated data. Ensuring hospitals can rely on their own research findings and confidently contribute to RWD studies.
Validation Dashboard
Validators review batches of multilingual NLP extractions, sampled using configurable strategies such as volume, uncertainty, and diversity-based methods.
Each sentence is assessed individually and marked accept or reject, with progress and accuracy tracked per datapoint. The interface also lets validators view sentences in their broader document context, supporting more accurate clinical assessment.

LynxCare Sentinel
Sentinel evaluates EHR-derived datasets against OMOP CDM standards using automated checks across completeness, plausibility, conformance, and cross-hospital benchmarking.
Rather than relying on manual sampling, it runs these checks systematically across the dataset, flagging missing values, implausible measurements, and extraction errors for review.
This shifts validation from a multi-day manual effort per cohort to a fraction of the time, while supporting the traceability and reproducibility increasingly expected under frameworks like the EHDS.
EHDS Readiness
Preparing hospitals for the European Health Data Space through OMOP mapping and rigorous data quality assurance.
Scientific Research
Enabling pharma- and physician-initiated multi-center cross-border research and peer-reviewed publications.
Federated & GDPR-Compliant
Sharing clinical insights in a federated, secure, GDPR-compliant and structured way. Patient data never leaves the hospital.
Deep Clinical Insights
OMOP-standardized datasets enriched with structured and unstructured data delivering longitudinal insights in the full patient pathway.
Faster Innovation for Patients
A collaborative ecosystem that bridges research, care, and innovation, accelerating innovation and discovery that ultimately benefits patients.
Fair Compensation
Hospitals receive transparent, fair compensation that recognises and respects time and resources invested in RWE studies
Data Partners














Published RWE Studies
Federated Approach
FAQs
Find answers to your questions about our data solutions and services.
Collaboration enables physician-led research with direct clinical relevance; supports preparation for the European Health Data Space (EHDS) through OMOP mapping and data quality assurance; provides fair financial compensation for time invested; and offers the opportunity to contribute to scientifically rigorous, peer-reviewed publications.
Sites are selected through a structured feasibility process, evaluating hospitals against criteria such as patient population size, data quality and completeness, operational readiness and scalability. Shortlisted sites undergo further assessment, and those best suited to meet the project or study needs are chosen.
Yes, our OMOP CDM-based approach and federated network architecture enable multi-center, multi-country research collaborations while maintaining data privacy and regulatory compliance.






