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Scheme : Linkage Projects
Australian State/Territory : TAS
Research Topic : statistical methods
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  • Funded Activity

    Linkage Projects - Grant ID: LP160101247

    Funder
    Australian Research Council
    Funding Amount
    $630,000.00
    Summary
    A high speed, high fidelity 3D printer for fabricating microfluidic devices. This project aims to develop a novel 3D printer offering the highest resolution available and fastest printing speed for the single-step manufacturing of complex microfluidic devices. New resins developed to exploit the inert liquid interface layer printing approach will provide unprecedented capability to create micron sized channels interconnected in 3D space and fabricate Lab-on-a-Chip systems that cannot be generate .... A high speed, high fidelity 3D printer for fabricating microfluidic devices. This project aims to develop a novel 3D printer offering the highest resolution available and fastest printing speed for the single-step manufacturing of complex microfluidic devices. New resins developed to exploit the inert liquid interface layer printing approach will provide unprecedented capability to create micron sized channels interconnected in 3D space and fabricate Lab-on-a-Chip systems that cannot be generated by any current fabrication approach. This novel high speed, high fidelity 3D printer and the new resins to be developed are expected to lead to more effective manufacturing approaches for portable chemical devices and to promote complex chemical analysis into the knowledge immediacy culture of today.
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    Funded Activity

    Linkage Projects - Grant ID: LP160100211

    Funder
    Australian Research Council
    Funding Amount
    $362,000.00
    Summary
    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.
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