Data interoperability
Transform data contained in different healthcare databases into a harmonized format (Common Data Model), as well as using a common representation (terminologies, vocabularies, coding schemes).
The OHDSI suite is an open-source, modular solution that enables organizations to explore 360° patient journeys and turn data into evidence. The ecosystem provides a broad range of tools that cover all aspects of real world data and evidence − from data characterization to a standardized data model (OMOP CDM). This enables large scale cross-database analytics with OHDSI.
Transform data contained in different healthcare databases into a harmonized format (Common Data Model), as well as using a common representation (terminologies, vocabularies, coding schemes).
OHDSI provides a systematic process and tool suite to evaluate and disseminate large-scale patient-level analyses and prediction models using observational data in a network
Efficient, large scale and reproducible observational research can be conducted by creating transparent and consistent content across disparate databases.
The open-source suite is backed and promoted worldwide by a community of patient organisations, clinicians, data scientists and epidemiologists.
Our data engineers and semantic experts help identify relevant analysis use cases for your data and enable integration of real-world data with other data sources. Our expertise lies in using and integrating healthcare data for a wide range of purposes, from clinical and observational research to virtual trials and value-based healthcare.
From a fully outsourced approach to ETL to hands-on training aimed at self-service transformations, our experts can provide support with mapping electronic health records, registry and commercial claims data.
We can help with deployment of the OHDSI stack in your existing infrastructure – in the Cloud or on-premise – under the Apache 2 license.
Our data engineers can develop custom functionalities on top of an existing stack and integration with existing technologies and software.
Our workshops give a general introduction to various components or the training can be geared towards accelerating the adoption of the OHDSI suite and conversion processes.
We contribute to European flagship projects such as IMI EHDEN, a public-private partnership that leverages and further improves the OMOP/OHDSI ecosystem. The aim of the project is to build a federated network for analysis of longitudinal observational real-world data from hundreds of millions of European patients.