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Categories: early warning scores

World-leading paediatric study concludes remote wireless monitoring and machine learning identifies clinical deterioration in patients much earlier than existing early warning systems

World-leading paediatric study concludes remote wireless monitoring and machine learning identifies clinical deterioration in patients much earlier than existing early warning systems

A world-leading study at Birmingham Children’s Hospital has concluded that the use of a continuous wireless patient monitoring platform and a first-of-its-kind predictive indicator can aid detection of deterioration of paediatric patients significantly earlier than their current early warning scoring method. If adopted at scale, this new system could potentially save hundreds of young lives.

How Isansys saw the future

How Isansys saw the future

Isansys features in the Investor Magazine, with journalist Rebecca Burn-Callander looking at how, when other companies were having to pause on trading during lockdown amid the Covid-19 pandemic, Isansys found itself having to adapt and scale up in a bid to meet demand for the Patient Status Engine.