- MediGrid can import data in many structured formats like Excel, CSV, CDISC, SAS and many more. Both manually, automated or in realtime through APIs or scripts.
- Data is structured, curated and enriched with metadata. The data catalog contains an overview of all available studies and datasets.
- Optionally data is harmonized to allow multi-study reporting or analysis.
- Researchers can decide if data becomes available in a FAIR data catalog or FAIR data station. This allows for data collaboration, access from 3rd party indexes or applications such as the personal health train.
What can users do with MediGrid?
- Clinical data managers can import datasets, curate data and monitor the quality of all data and metadata. For example by using the data catalog or curation functions.
- Researchers can browse datasets, perform basic analyses in MediGrid or use structured data exports or data pipelines to 3rd party tools such as R, SPSS or SAS.
- Auditors, researchers and data managers can create and monitor risks reports or conduct compliance checks.
- ISO 27001 certified
- Access management
- Audit trail
- Remove personal data (right to be forgotten)
- Read Excel, CDISC SDTM/ADAM, SAS files
- Setup schemas and data structures from Excel template
- Data quality checks
- Data curation
- Data catalog
- Data dictionary
- Support for LOINC, SNOMED and Athena
- OHDSI OMOP common data model
The best way to learn more
There is lots more to tell en learn. The best way to learn more about MediGrid is by experiencing a demo. In only 30 minutes you’ll learn more about the solution, see the interface and several of the analysis options.