Evidence from Real World Data, both at patient and population level can inform clinical decision making and lead to significantly reduced risks and better outcomes.
The increasing amount of Real World Data, which is routinely collected by hospitals and GPs, along with insurance claims and data from national registries, constitute an invaluable resource for evidence based medicine and drug development. Great opportunities go hand in hand with great data integration challenges which need to be solved to better understand population health, to practice value-based healthcare, and to directly improve clinical decision making for individual patients through personalized medicine.
Too often researchers need to interpret very large and extremely heterogeneous data stored in databases with custom design and purpose and too often standards are bound to a software lifecycle and the rise and fall of these is connected to the success or will of a specific IT vendor.
Two essential requirements to unlock the immense potential of those data sources for research and clinical practice are data harmonization and large-scale analytics.
The OHDSI ecosystem includes the OMOP CDM and the OHDSI toolkit, a highly standardized common data model and an open-source stack for large-scale statistical analysis. We help you to leverage the CDM to standardize data from multiple sources such as EHRs, claims, registry data, lab tests, surveys and data from mobile devices. Harmonized data in the OMOP CDM forms the source for patient- and population level data analysis.
We help organisations adopting the OMOP/OHDSI ecosystem and we offer a modular package of services including CDM assessment, gap analysis, implementation, integration, customization, data mapping and conversion.
Customers can identify their organisation-specific level of OMOP/OHDSI expertise and either select an individual service that fits the organisation's current needs or start with a consultation and continue step-by-step to the full adoption of the ecosystem.
We bring all stakeholders (from execs to users) to a shared understanding of the value the OMOP/OHDSI ecosystem will add to their organisation. We create insight in how to measure and improve health and business outcomes.
We deploy the full OHDSI toolsuite and configure the stack to custom fit your organization's set up. We can extend functionalities of the OHDSI tools to optimally support your analysis needs.
We convert source data to the OMOP CDM. Customers can choose the degree of involvement in this process. Our services include a wide range of hands-on training and workshops for organisations that want to take up OMOP conversion processes as well as automated OMOP conversions as a service for which the involvement of the customer is minimal.
Submit this form to download a more detailed description of use cases, illustrating projects around the following services:
CDM assessment and extension undefined
MappingEHR & claims data undefined
Development of new analytics capabilities undefined
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