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Project

Next-gen clinical registries: common data models, AI & cloud computing - MRFF

Personalise

We're creating and deploying a software framework (NextCR, comprising software code, documentation, training materials) that organisations can use to establish and operate highly secure, cloud-based next-generation clinical registries. It will address new national requirements for clinical quality registries in domains including orthopaedics, cardiovascular disease and cancer. It will use advanced software engineering and AI methods to transform near real-time data drawn directly from electronic medical records (EMRs) and other electronic data, including imaging. NextCR registries will provide highly-detailed, research-ready clinical data, leveraging international Common Data Models and terminologies to maximise data interoperability.

School

Centre for Big Data Research in Health

Our capabilities: Clinical quality registries

Hosting big data to monitor, inform and publish on clinical care, practice and outcomes.

Our research home

The Centre for Big Data Research in Health (CBDRH) actively fosters a broad community of researchers who are adept in advanced analytic methods, agile in adopting new techniques and who embody best practices in data security and privacy protection.