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A research project is set to apply health informatics solutions to decision-making in hospitals with an aim to deliver safer and more effective patient care.

The $1.5 million project is a three-year collaboration between , , , , , and that will evaluate and improve clinical decision support tools in both regional and metropolitan hospital settings.

Associate Professor Melissa Baysari from the University of Sydney explained that while decision support systems are often implemented in hospitals, they are either poorly taken up or worked around.

鈥淲e need to improve the 鈥榝it鈥� between decision support technologies and the people who use them,鈥� A/Prof Baysari said.

鈥淲ith hospitals on the frontline of Australia鈥檚 healthcare delivery, this project aims to support clinical staff who are faced with an enormous number of decisions when treating patients聽鈥� navigating the ever-growing array of drugs, tests, techniques, medical technology and health data now available,鈥� said DHCRC CEO Dr Terry Sweeney CMG.

鈥淚n addition to benefiting patients, the project has a number of commercial drivers with a 2019 report^[1] on Australian hospitals finding that patient safety lapses contributed to around 8.9 per cent of total hospital activity and expenditure, costing an estimated $4.1 billion during 2017鈥�18.鈥�

Professor Steven McPhail from Queensland University of Technology 鈥� a Flagship Research and Education Director of the DHCRC 鈥� added that the importance of the project was its multidisciplinary nature, supported by the DHCRC.

鈥淚t鈥檚 vital to ensure Health Services research is done in collaboration with people and organisations with different expertise, backgrounds and perspectives who have unique views and can contribute to the project鈥檚 immediate and long-term success.鈥�

The research team will work with Alcidion鈥檚 Miya Precision system, which is used by Sydney鈥檚 Royal Prince Alfred 黑料吃瓜群网 and by Wagga Base 黑料吃瓜群网 in Southern NSW, to identify priority areas where clinical decision support tools will add value.

Miya Precision consolidates data from existing systems, such as the electronic medical record, and enables clinical decision support to provide clinicians with proactive notification of critical issues.

^{[1] The Australian Commission on Safety and Quality in Health Care:}

Image credit:聽漏stock.adobe.com/au/santiago silver