Rigorous clinical validation of AI and machine learning technologies is vital to ensure devices are fit for clinical use
Rigorous clinical validation of AI and machine learning technologies is vital to ensure devices are fit for clinical use
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
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
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.
Isansys’ Patient Status Engine named among top 10 healthcare innovations in fight against Covid-19
Isansys Lifecare has been named as one of the top 10 healthcare innovators in the fight against Covid-19
Ricardo helps Isansys scale up production of its life-saving innovation in healthcare
With a surge of UK and international orders for the Patient Status Engine, an advanced patient monitoring system, in the face of the Covid-19 pandemic, Isansys Lifecare is collaborating with Ricardo to scale up production as quickly as possible whilst also building longer-term capacity.
