Digital Research Environment (DRE)
The DRE team facilitates innovation in the use of data that underpins research and digital developments for the benefit of patients at Great Ormond Street Hospital (GOSH) as well as the wider health sector.
You can find out more about the GOSH DRE below.
Collaborative research environment
The DRE team manage a secure data store and digital research platform supplied by Aridhia. The Trusted Research Environment works alongside the Electronic Patient Record system called EPIC at GOSH. It holds data recorded for more than 20 years, representing around 100million events across 420,000 patients seen at GOSH.
The platform provides a collaborative research environment for the management, visualisation and analysis of routinely collected clinical and other data. It incorporates process components, such as data security, de-identification, and audit logs. The DRE team have set up more than 250 workspaces on the platform and have supported projects ranging from formally registered research studies, service evaluations and clinical audits to exploratory projects for DRE internal team learnings.
The DRE team works with academic and clinical collaborators to understand their data needs, having developed standard templates for data extraction to accelerate the process. It is only a small and restricted number of collaborators that can access the platform as needed. The Aridhia DRE integrates with advanced analytics tools allowing data to be interrogated for patterns, modelling and proof-of-concept testing of digital technologies.
It's common for clinicians to come together regularly to discuss adverse patient outcomes so that they can quickly identify any safety concerns and improve outcomes for the future.
To prepare for these meetings, data analysts have to collate and understand information on patients' outcomes. This takes lots of time.
The DRE worked with cardiologists at GOSH to set up a data base and dashboard that links together this information. This means that the cardiac team can access data more rapidly in informative patient profiles to be discussed in these meetings.