The latest thinking from Aridhia on health data research, Trusted Research Environments, secure AI, federated analytics, SATRE, and the European Health Data Space. The technology and policy developments shaping how sensitive data research gets done.
How the Aridhia DRE goes beyond SATRE: FAIR metadata catalogue, configurable DAR workflows, Cohort Builder, pre-installed tooling, and federated analytics.
How the DRE supports medical imaging research: DICOM interoperability, AI and deep learning for image analysis, FAIR data management for global collaboration
OMOP CDM in the Aridhia DRE: ETL pipelines, FAIR Data Services, OHDSI Atlas, CohortMethod, and PatientLevelPrediction for secure observational health research.
David Sibbald on nine lessons from nearly 1,000 research projects and 5,500 datasets: SDEs, TREs, and DREs are the same challenge by different names.
Building a TRE requires dedicated software teams, six-figure certification costs, and years of maintenance. Robert Bryce weighs the true cost of build vs buy.
Aridhia DRE Workspaces integrate Gitea, giving researchers secure, self-contained Git version control for reproducible code and model development inside a TRE
How do you know a dataset suits your study before submitting a DAR? Scott Russell introduces Cohort Builder, a dataset qualification tool in FAIR Data Services.