Acute Kidney Injury (AKI), an abrupt deterioration in kidney function, occurs in up to one in five emergency admissions to hospital. The financial burden to the NHS is estimated to be more than £1bn per year. Early identification of, and response, to AKI is key to improving outcomes for patients with AKI.
A novel care pathway has been developed, which combines NHS guidelines for best practice with a mobile app - called “streams-AKI". This app applies an NHS algorithm to live patient clinical data. This digital pathway aims to help improve diagnosis times and treatment of patients.
We collaborated with Google DeepMind Health to develop and evaluate this app, and establish if it helped clinicians to identify patients at risk of acute kidney injury, in real time.
Using a mixture of qualitative and quantitative methods, and working alongside clinical nephrologists, critical care outreach nurses and IT staff, we evaluated the care pathway enabled by this app in an NHS hospital.