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  • Active Funded Activity

    Linkage Projects - Grant ID: LP170100064

    Funder
    Australian Research Council
    Funding Amount
    $317,000.00
    Summary
    Reducing health disparities for culturally and linguistically diverse peoples. This project aims to develop a greater understanding of migrants and the factors that predict poor health outcomes related to blood-borne viruses and sexually transmitted infections. The delayed access by migrants to healthcare from culturally and linguistically diverse backgrounds results in late diagnosis, low treatment uptake, and poorer health outcomes, with enhanced risk of infection and increased burden on the h .... Reducing health disparities for culturally and linguistically diverse peoples. This project aims to develop a greater understanding of migrants and the factors that predict poor health outcomes related to blood-borne viruses and sexually transmitted infections. The delayed access by migrants to healthcare from culturally and linguistically diverse backgrounds results in late diagnosis, low treatment uptake, and poorer health outcomes, with enhanced risk of infection and increased burden on the health system. The data collected in this project will assist in developing health services to meet these needs.
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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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