Data Processing & aggregation via LynxCare's targeted data mining models
Lynxcare’s context specific data mining models extract & code EHR data with an accuracy of > 90%, enabling data to be used for Quality Management & Research.
Predefined data point list
NLP & Machine learning
Quality control ( no black box algorithm)
Continuous retraining with an accuracy of >90% per datapoint
Coding & pseudonymisation (SNOMED CT / UMLS)
Clinical data warehousing infrastructure
Data is then brought together in a single, resilient & secure data warehouse. The data is always property of the hospital and is stored according to the latest version of the OHDSI common data model, simplifying international data collaborations.
OMOP model (OHDSI)
Hospital controlled tenant
Plugin your own BI/ admin warehouse or use the predefined quality & research templates
Lynxcare supports a library of off-the-shelf dashboards that provide insights on top of the data. Together with our team of clinical exports, custom dashboards can be developed to fit your needs.
Predefined Queries & Template reports for clinical & outcome research
Build your own reports on top of the enriched data warehouse
Enriched with predefined Queries for ease of use ( buckets/ HIPAA regulation/ GDPR regulation)
Collaborate & Benchmark
Leverage high level insights in multicenter real world evidence studies
Setup a benchmark between hospital/ data network to have an objective view on the quality of care provided and possible optimisation processes (data-driven pathway optimizer)
Become a data-driven innovator measuring the impact of innovation in near-real time on your own population.
Discover some ready-made solutions & use-cases
Developed together with clinical experts & hospital BI teams