A DYNAMIC prediction engine designed to anticipate the increased risk of an aged care resident suffering a fall has been shortlisted as a national finalist in a major technology innovation award.
Known as MQ-Dash, the system has been recognised in the Not-for-Profit and Community category at the 2025 iAwards, which celebrates achievement and excellence in technology and innovation.
MQ-Dash was developed via a research project led by Professor Johanna Westbrook, working in partnership with Anglicare and an extensive research team.
The system works by consolidating health and care data from multiple systems into a single, actionable view, recognising changes in medication and mobility indicators to anticipate if, when or whether a resident is at increased risk of falling in their home or care facility.
Adopting a user-friendly interface, MQ-Dash has been developed with input from aged care workers, residents and families to ensure easy and adaptable functionality in real-world care environments.
The project has been funded by the National Health and Medical Research Council (NHMRC).
"This recognition highlights the power of co-designed, data-driven tools to transform aged care.
"We're proud to be building technology that puts the safety and dignity of older Australians at the centre," said Professor Westbrook.
According to the research paper, the system has been developed on the back of the The Royal Commission into Aged Care Quality and Safety as a step towards providing better aged care and a more transparent care system.
One key aim from the five-year project is to develop an aged care dashboard which features an embedded decision support structure to guide staff when presented with warning signals.
CLICK HERE for more detail on the research behind MQ-Dash. ML
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