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IG framework: acute kidney injury

Following a process of initial data exploration with the project team, it was decided that analysis of patients coded with Acute Kidney Injury had returned results lower than expected. In discussion with clinicians it was decided identifying the population of AKI patients using creatinine clinical biomarkers data would return a more realistic set of data. These datasets could then be linked locally to operational hospital data to understand outcomes such as length of stay, mortality, demographic profiling, referral, primary diagnosis and comorbidities.

The process of extracting biomarkers data from pathology teams and linking to hospital data using key identifiers before being fully pseudonymised was tested with Oxford University Hospitals (Oxford AHSN’s host Trust). The output was reviewed and it was decided that repeating the collection and linkage across the region would add value by identifying a more accurate population of patients for evaluation, understanding AKI and deteriorating AKI patients in addition to the outcomes data.

The IG Framework enabled sign-off on a protocol document which proposed to replicate the collection, linkage and pseudonymisation of a patient datasets across all trusts involved. The data is currently being returned and analysed to support the AKI project group to understand outcomes and variation across the region.

  • Read more about the Oxford AHSN Patient Safety Collaborative’s work on acute kidney injury here.
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