Vision
To support the move away from a variable-based world to one based on real-world concepts and the data’s natural form with associated relationships (Biomedical Concepts). This move is needed to address issues faced by industry in the use of data standards today.
Method
Use semantic web and graph technologies to provide the underlying model.
The use of these technologies allows for new areas to be easily accommodated and updates made without major disruption to existing work. Thus, as standards evolve, so can the tools without disrupting users.
Lifecycle
Support the full clinical lifecycle with an MDR that supports tools across that lifecycle while having individual tools, using an API, that focus on one task and do that task well.
Start with study build and move forward to statistical analysis and back towards protocol.
LATEST BLOGS
On Fire at the CDISC Interchange
A3 Informatics stepped out at the CDISC European Interchange in Berlin for the first time, at the end of April and it proved to be a very busy and successful event. Both Dave Iberson-Hurst and Johannes Ulander were presenting and you can read more and download their...
Linked Data and Graph Databases: Driving Data Quality
Johannes Ulander: Towards Better Data At the end of November 17, Johannes Ulander presented at the PhUSE single day event in Beerse. His presentation, ‘Towards Better Data’ considered linked data and graph data bases and the impact this has on the quality of the data....
Understanding Biomedical Concepts
CDISC standardisation starts when you write a protocol and you decide how your CRF should look. The current way of working makes data collection and processing in a CDISC standardised way very inefficient and resource demanding.