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Creating a secure and scalable data platform to support research and clinical advancements
The GOSH-Aridhia DRE partnership

Following the introduction of our Electronic Patient Record in 2017, we began to build GOSH DRIVE, a hub for innovation with a team of digital engineers, governance experts, data scientists and clinical experts.

 

With a vision to harness the secondary use of routinely collected data from EPR and other systems, we partnered with Ardihia to build a state-of-the-art DRE infrastructure.

 

Our aim being to improve the operational management and planning of the hospital and to support clinical and informatics research activity.

 

Our new paper showcases how much we have achieved in the first 8 years of our partnership.

 

We are really proud of the hard work that the team have and continue to put into ensuring patient data is used ethically and responsibly as we strive to improve outcomes for children and young people with rare and complex diseases.

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The GOSH x Aridhia SDE offering

In partnership with Aridhia, we are now offering a three-tiered service to support other organisations in the system to set up SDEs.

 

  • Researcher: Workspace provisioning within the GOSH DRE for individual external research projects.

  • Organisation: Dedicated and secure space for an external organisation on the GOSH DRE platform to manage a portfolio of research projects.

  • SDE: Consultancy service for international organisations to support the creation of their own standalone Aridhia SDE.

 

The offering will dramatically reduce the time, effort, costs, and complexity typically involved in setting up new SDEs by providing:

 

  • Accelerated deployment of production ready integration and analysis pipelines,

  • Collaborative Workspaces in which projects can start immediately,

  • FAIR data services to work with the complexity of diverse datasets,

  • Full audit and reporting for governance and regulatory use.

 

The experience and expertise of the GOSH and Aridhia teams will also ensure governance best practice, reduced delivery risk and accelerated time to value making optimal use of available budgets.

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