PARTNERSHIP
A Scots health informatics company has signed a tenyear deal with Great Ormond Street Hospital (GOSH) that will boost the renowned London establishment’s research capabilities.
Aridhia, which is based in Edinburgh and Glasgow’s Queen Elizabeth University Hospital, said that under the agreement, one of its most significant to date, it will deliver research and innovation as part of the hospital trust’s digital transformation.
It comes as GOSH looks to become a research hospital rather than a hospital that does research.
The company’s chief executive, Chris Roche, said GOSH is “world-renowned and it is an honour to be given the opportunity to support such extraordinary researchers delivering ground-breaking research across multiple clinical domains”.
Aridhia will provide a specific edition of its cloud-based data analysis platform, known as Analytixagility, that will be used to enhance the way GOSH manages its research projects. The service will also
0 Roche believes the deal endorses Aridhia’s bid to accelerate clinical research
“It is an honour to be given the opportunity to support such extraordinary researchers delivering ground-breaking research.”
ARIDHIA CEO CHRIS ROCHE be integrated with the trust’s new electronic patient record system.
Analytixagility is also part of a “game-changing” £64 million European research collaboration aiming to build a means of efficiently testing treatments to prevent Alzheimer’s disease, and aims to improve how researchers access and analyse data in a secure and reproducible way.
It will let research teams “rapidly access and extract value from a rich source of data in order to accelerate the translation of pioneering research into clinical practice,” Aridhia said.
Roche added: “For [GOSH] to select Analytixagility after a rigorous 12-month procurement process is great endorsement of our vision to accelerate clinical research.
“The trust was seeking a secure, scalable research platform that would allow their teams to collaborate on analysis and deliver rapid, auditable and reproducible results.
“Analytixagility satisfies these requirements. We are