New Australian technology can reduce hospital deaths and intensive care admissions, new research has found.
The breakthrough Artificial Intelligence (AI) technology can forecast whether a patient will need intensive care or is at risk of dying more than 24 hours in advance, giving clinicians the chance to intervene early.
Research shows the new technology - called the Ainsoff Deterioration Index, has reduced adverse events and the length of time patients need to stay in hospital.
Developed by Beamtree, the index tracks the health and vitality of hospital patients in real time, using advanced machine learning technology to read vital signs and predict the likelihood of sudden deterioration.
It tracks changes in blood pressure, heart rate, respiratory rate, oxygen saturation, temperature, and kidney function. It then delivers alerts to nursing staff, offering summaries of patients' vital signs, location and their risk of deterioration.
A paper published in international medical journal Resuscitation reports the technology, which was invented by two Australian doctors, produced extremely promising results during a 10-month trial at Sydney Adventist Hospital.
It was found to have reduced adverse events such as death and the need for emergency response by 16.7 per cent, and unplanned intensive care admissions by more than 20 per cent.
Index co-inventor and heart surgeon Levi Bassin said the technology improved on traditional early warning monitors, which can only provide "a snapshot" of patient health at a given moment of time.
"We're thrilled that the Resuscitation Journal has published these results, which underscore the potency of the (index) in predicting patient deterioration, enabling clinical teams to intervene sooner and save lives," Dr Bassin said.
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