Assessing the national productivity impacts of chronic ill health. The project aims to address one of the biggest gaps in health and productivity research by designing a novel composite national metric that will rank lost productivity due to chronic illness The project brings together tax/transfer modelling, health modelling and epidemiological modelling specialists to develop a highly innovative microsimulation model: Health&WorkMOD to then quantify the costs of health-related productivity loss ....Assessing the national productivity impacts of chronic ill health. The project aims to address one of the biggest gaps in health and productivity research by designing a novel composite national metric that will rank lost productivity due to chronic illness The project brings together tax/transfer modelling, health modelling and epidemiological modelling specialists to develop a highly innovative microsimulation model: Health&WorkMOD to then quantify the costs of health-related productivity loss. The proposed model, an international first, will be a powerful tool to comprehensively model the cost impacts of illness and simulate policy options related to health and productivity. This will provide answers to critical policy questions for government with potential significant economic benefits.Read moreRead less
Resolving patients' complaints about hospitals: Responsive regulation by health ombudsmen. Ombudsmen help ensure integrity and accountability in societal institutions. This study of patients' complaints about hospitals to health ombudsmen in two states, and the responses of hospitals, will produce evidence on strategies for making hospitals more responsive to the public and more accountable for the quality of their care. Australia was a world leader in establishing health ombudsmen and this stud ....Resolving patients' complaints about hospitals: Responsive regulation by health ombudsmen. Ombudsmen help ensure integrity and accountability in societal institutions. This study of patients' complaints about hospitals to health ombudsmen in two states, and the responses of hospitals, will produce evidence on strategies for making hospitals more responsive to the public and more accountable for the quality of their care. Australia was a world leader in establishing health ombudsmen and this study will explore their impact upon the hospital system. Evidence-based strategies are needed to improve the accountability of service providers and regulators. Social and economic benefits flow from empowering patients and from improving hospital performance.Read moreRead less
Chronic Disease Prevention and Treatment - Cost-Benefit Model Systems to Assist with Priority Setting. The key benefit of the proposal to develop linked chronic disease models that are able to account for comorbidities will be that a much more accurate picture of the health and financial implications of chronic diseases will be obtainable than with the traditional 'disease-by-disease' based studies. Such a global approach is particularly relevant to analysis of chronic disease prevention and/or ....Chronic Disease Prevention and Treatment - Cost-Benefit Model Systems to Assist with Priority Setting. The key benefit of the proposal to develop linked chronic disease models that are able to account for comorbidities will be that a much more accurate picture of the health and financial implications of chronic diseases will be obtainable than with the traditional 'disease-by-disease' based studies. Such a global approach is particularly relevant to analysis of chronic disease prevention and/or treatment, because the lifestyle related risk factors are common to many such diseases. Overall, the linked models will be able to improve on current decision making processes, providing a more complete view of chronic disease costs and benefits - either today, or in future - under different prevention or treatment scenarios.Read moreRead less
Parasite virulence: the role of activation and suppression of P2X7 receptors. Toxoplasmosis and leishmaniasis pose a threat to the health and well-being of the Australian human and animal populations. Around 6-8 million Australians are infected with Toxoplasma, a parasite that can cause severe problems in immunosuppressed individuals and birth defects and miscarriage in pregnant women with a primary infection. Toxoplasmosis is also the main cause of abortion and stillbirth in Australian sheep. L ....Parasite virulence: the role of activation and suppression of P2X7 receptors. Toxoplasmosis and leishmaniasis pose a threat to the health and well-being of the Australian human and animal populations. Around 6-8 million Australians are infected with Toxoplasma, a parasite that can cause severe problems in immunosuppressed individuals and birth defects and miscarriage in pregnant women with a primary infection. Toxoplasmosis is also the main cause of abortion and stillbirth in Australian sheep. Leishmaniasis, recently found in Australia, is a risk for overseas travellers, livestock and wildlife. This research will provide an understanding of what makes these parasites successful, paving the way for development of novel drugs to combat these chronic diseases.Read moreRead less
Personalised Learning for Per-pixel Prediction Tasks in Image Analysis. AI-assisted image segmentation & synthesis are very challenging and usually require pixel-level labelling (per-pixel prediction) that is costly to obtain. The small amount of labels makes it difficult to train an “optimal” unified model for varied data as conventional methods did. This project aims to develop a new paradigm “personalised learning” to tackle this problem, where each image could be dealt with a model tailored ....Personalised Learning for Per-pixel Prediction Tasks in Image Analysis. AI-assisted image segmentation & synthesis are very challenging and usually require pixel-level labelling (per-pixel prediction) that is costly to obtain. The small amount of labels makes it difficult to train an “optimal” unified model for varied data as conventional methods did. This project aims to develop a new paradigm “personalised learning” to tackle this problem, where each image could be dealt with a model tailored to individual characteristics. The success of this project could significantly advance the fundamental research in image analysis. Expected outcomes include new knowledge and algorithms for image analysis, which could benefit fields like biology and archaeology, where labeled images are hard to attain and scarce.Read moreRead less