12 April 2022
An artificial intelligence system – which provides advance warning to clinical staff of a patient’s deteriorating condition – is being trialled at the Royal Adelaide Hospital and Queen Elizabeth Hospital.
The Central Adelaide Local Health Network said the Ainsoff system monitored a host of patient variables and pathology results and used machine learning to anticipate deteriorations in patient status, automatically alerting medical staff and allowing them to intervene sooner.
It monitors for changes in blood pressure, heart rate, respiratory rate, oxygen saturation, temperature and renal function.
In a previous silent trial - which monitored more than two thousand patients - Ainsoff had an 83 per cent success rate predicting when a patient should be moved to intensive care and a 73 per cent success rate in emergency team calls.
During the three-month trial, nursing shift coordinators in four surgical wards will receive a tailored text message with a summary of the patient’s vital signs, their location and their risk of deterioration.
The CALHN said it “empowers nursing staff to lead the decision-making process with the clinical team”.
The AI system will not replace any of the usual checks and patients for a patient’s care.