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Industrial Transformation Research Hubs - Grant ID: IH150100028
Funder
Australian Research Council
Funding Amount
$3,708,510.00
Summary
ARC Research Hub for Integrated Device for End-user Analysis at Low-levels. ARC Research Hub for Integrated Device for End-user Analysis at Low-levels. This hub aims to improve detection of biological materials by building a portable device for rapid, time-critical detection of low-abundance molecular and cellular analytes. It is expected that the resulting technologies would be used at medical points of care, ordinary workplaces and centres of activity to test for tiny levels of targeted molecu ....ARC Research Hub for Integrated Device for End-user Analysis at Low-levels. ARC Research Hub for Integrated Device for End-user Analysis at Low-levels. This hub aims to improve detection of biological materials by building a portable device for rapid, time-critical detection of low-abundance molecular and cellular analytes. It is expected that the resulting technologies would be used at medical points of care, ordinary workplaces and centres of activity to test for tiny levels of targeted molecules. The initial focus would be early diagnosis of disease and point-of-care drug testing for humans and animals, but the technology platform could be used to sample food and environmental toxins. The hub expects these disruptive technologies will make Australian biotechnology, diagnostics, veterinary, agribusiness and manufacturing firms globally competitive.Read moreRead less
Predicting the diagnostic performance of individuals and organisations. Predicting the diagnostic performance of individuals and organisations. This project aims to address diagnostic error in advanced technology systems, by providing a mechanism to assess and improve individual diagnosticians’ performance. Organisations that rely on their employees’ diagnostic skills rarely assess them once the operators become qualified, so there is no basis for interventions that might prevent diagnostic erro ....Predicting the diagnostic performance of individuals and organisations. Predicting the diagnostic performance of individuals and organisations. This project aims to address diagnostic error in advanced technology systems, by providing a mechanism to assess and improve individual diagnosticians’ performance. Organisations that rely on their employees’ diagnostic skills rarely assess them once the operators become qualified, so there is no basis for interventions that might prevent diagnostic errors affecting thousands. This research tests a new method of assessing diagnostic skills based on how skilled operators respond to cues. This project will test how employees’ diagnostic skills change and whether this change corresponds to measures of organisational performance. This research is expected to provide organisations with a tool to pre-empt diagnostic errors that could minimise costs to the economy.Read moreRead less