Monash University researchers have developed a solution using Artificial Intelligence (AI) to better understand the cause of hospital readmissions, in turn improving health outcomes and reducing the financial burden on the health system.
In the biggest study of its kind in Australia, researchers applied AI technology to examine 10 years’ worth of patient medical records, looking at 14,000 records and examining the details of over 327,000 hospital readmissions.
We’ve seen before how important AI is to the world, and what it can do for those around us.
They have now developed a prediction model that achieves state-of-the-art prediction accuracy on two patient cohorts – chronic liver disease and heart failure.
The results of this research could help health experts model the long-term prognosis of other diseases in the future.
The research is a joint collaboration between the Faculty of Information Technology (IT) and the Faculty of Medicine, Nursing and Health Sciences, specifically through the School of Clinical Sciences and Monash Health.
By examining these complex data sets, the machine learning algorithms we’ve developed can make predictions on medical risks, such as identifying if and when a patient will readmit and whether this can be avoided.
Professor Buntine
Professor, Department of Data Science & AI at Monash University
Initial findings of the research project will be published at the 24th European Conference on Artificial Intelligence (ECAI 2020) in August. The project is expected to be completed in 2021 and the findings of this research will be further validated in real-world hospital settings to assist with predicting patient readmissions.
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