We develop groundbreaking software for managing your clinical data
A3 Informatics has ceased operating
The software assets will be made available. If you are interested please contact
Dave Iberson-Hurst via LinkedIn
A3ccelerate is designed and created by our team of experts to manage sponsor and CDISC standards with a user friendly interface. It is built on a data model founded on Biomedical Concepts. The suite consist of the our free A3 community MDR, A3 Terminology MDR, A3 MDR and the A3 Study Workbench.
A3ccelerate removes the need for managing your metadata using traditional methods (such as Excel spreadsheet) which creates challenges for maintaining and control or increasing scalability. Using A3ccelerate will drive improvements in your data quality.
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.
The A3 Suite comprises of four modules
With our unique approach, you choose the solution that suits your needs.
The Benefits of Using the A3 Suite
Companies using A3 Suite will gain control and full benefit of using Sponsor & Industry Standards
Better control of Sponsor & CDISC standards: Additional Benefits
The CDISC Business Case demonstrates why standards need to be implemented
Don’t know where to start?
Start by using our free Community MDR
where you can browse, search and compare
News, thoughts and comment
Flying through PhUSE with Linked Data, FHIR, & Biomedical Concepts
This year’s EU PhUSE Connect event in Frankfurt was entitled, Future Forward. And it seems as if there has been a significant shift towards the use of linked data within our community.
CDISC Standards: Avoiding the Square Wheel
CDISC Standards and avoiding the pitfalls of technical debt are the fascinating topic of discussion in this Blog post by Dave Iberson-Hurst, CTO
SDTM Mapping in a Linked Data World
It can be a tricky communication task to convey the linked graph data approach for handling SDTM data, to an audience used to making SDTM in a table-based approach.