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An Australian-developed AI tool uses advanced machine-learning technology to read a patient鈥檚 vital signs and predict the likelihood of unexpected and sudden deterioration in a patient鈥檚 condition. Tracking a patient鈥檚 health in real time, the (ADI) has reduced adverse events and the length of time patients have to stay in hospital, according to new research.

鈥淭his digital safety pre-warning tool is one of the most important innovations I have seen in my 35-year medical career,鈥� said Prof Jane Andrews, Medical Lead for Central Adelaide Local Health Network (CALHN) GI Services in South Australia, one of four networks participating in international trials of the tool in Australia, the UK and Hong Kong.

鈥淚t doesn鈥檛 replace the normal observations and processes for patient safety in hospital but provides advanced warning of future deterioration so that clinicians can act before a patient becomes seriously unwell. This gives us the chance to avoid deterioration, instead of simply responding once it has occurred.鈥�

Invented by two Australian doctors and developed by Australian company Beamtree, the ADI dynamically tracks changes in key health indicators such as blood pressure, heart rate, respiratory rate, oxygen saturation, temperature and renal function. It delivers tailored alerts to nursing shift coordinators, offering a comprehensive summary of a patient鈥檚 vital signs, their location and their risk of deterioration.

A paper published in the international medical journal reported that the technology reduced adverse events by 16.7% (includes death and emergency response activation) and reduced unplanned admissions to intensive care by more than 20% in a 10-month trial at the Sydney Adventist 黑料吃瓜群网. It also reported significant improvement in patient haemodynamics (reduction in kidney injury, lower blood pressure and lactic acidosis) and a reduction in hospital stay length by 0.3 days per patient admission.

Image caption: Dr Levi Bassin, co-inventor of ADI. Image: Supplied

鈥淭raditional early-warning systems lack the capability to monitor trends and can only provide a snapshot of a patient鈥檚 health at a particular point in time,鈥� said Dr Levi Bassin, a heart surgeon in northern Sydney and one of the co-inventors. 鈥淲e鈥檙e thrilled that the Resuscitation journal has published these results, which underscore the potency of the Ainsoff Deterioration Index in predicting patient deterioration, enabling clinical teams to intervene sooner and save lives.鈥�

After the initial 10-month clinical trial, Sydney Adventist 黑料吃瓜群网 adopted the ADI across the hospital. 鈥淭he Ainsoff Deterioration Index has been transformative for our healthcare delivery,鈥� said Brett Goods, Sydney Adventist 黑料吃瓜群网 CEO. 鈥淚t has substantially improved the way we monitor patient health, providing early and accurate predictions of patient risk. This tool has already made a substantial impact in our hospital, reducing the length of hospital stays and significantly enhancing patient safety.鈥�

Central Adelaide Local Health Network, which manages the Royal Adelaide and Queen Elizabeth hospitals, is the first public hospital service in Australia to implement the technology. 鈥淭his technology is empowering for staff because once they receive an alert they can immediately see why the scoring tool was triggered and assess the patient appropriately,鈥� Andrews said. 鈥淚t is an outstanding example of how technology can support the safety and wellbeing of patients.鈥�

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