Measuring The Productive Efficiency Of Hospitals - A Comparison Of Parametric And Non-parametric Approaches
Funder
National Health and Medical Research Council
Funding Amount
$61,815.00
Summary
In the face of rising health service costs, an ageing population, and falling private health insurance rates, the efficient use of scarce health service resources has become a central theme in health system reform. Productive (or technical) efficiency is a key aspect of health system reform - that given health services are produced with the minimum feasible amount of resources. Despite the importance of technical efficiency there have been few published studies in Australia which measure technic ....In the face of rising health service costs, an ageing population, and falling private health insurance rates, the efficient use of scarce health service resources has become a central theme in health system reform. Productive (or technical) efficiency is a key aspect of health system reform - that given health services are produced with the minimum feasible amount of resources. Despite the importance of technical efficiency there have been few published studies in Australia which measure technical efficiency in the health sector. This study will develop theoretical and empirical approaches to measuring technical efficiency in the production of hospital services using data from Victoria. Measures of hospital technical efficiency will be developed using two quantitative modelling approaches: stochastic frontier modelling and data envelopment analysis. Results will be used to investigate the impact of patient and hospital characteristics on efficiency, and to identify economies of scale and scope in the provision of hospital services. The robustness of results to changes in variables, the sample of hospitals studied, and model assumptions will be tested, and two techniques will be compared to assess their appropriateness in the health services context which has not previously been done. Criteria for assessing the approaches include the degree to which: assumptions affect the robustness of results; the techniques capture the salient features of health services production; and the techniques produce similar rankings and estimates of inefficiency. The methods used will represent a significant contribution to international knowledge of hospital efficiency measurement, and the relationships between hospital characteristics, casemix, and efficiency. The study wil provide improved measures of hospital efficiency in Victoria, and will inform debate on hospital funding policy.Read moreRead less
Strategies for the detection of designer steroids in greyhounds. Strategies for the detection of designer steroids in greyhounds. This project aims to develop strategies to detect designer steroids in racing greyhounds to safeguard industry integrity and animal welfare. These strategies include in vivo and comparative in vitro studies of steroid metabolism, mass-spectrometric elucidation of metabolite structures, and synthesis of putative steroid metabolites with different stereochemistries and ....Strategies for the detection of designer steroids in greyhounds. Strategies for the detection of designer steroids in greyhounds. This project aims to develop strategies to detect designer steroids in racing greyhounds to safeguard industry integrity and animal welfare. These strategies include in vivo and comparative in vitro studies of steroid metabolism, mass-spectrometric elucidation of metabolite structures, and synthesis of putative steroid metabolites with different stereochemistries and oxidation patterns as reference materials. This project will use major metabolites identified by these studies to develop analytical procedures to test for drug abuse at greyhound race meetings. The project will target twelve readily available designer steroid supplements that have significant risk of abuse.Read moreRead less
Geometry of wall-turbulence and its potential to advance scalable models. This project aims to unravel the connections between the statistical geometry of wall-turbulence and the dynamical interactions of its instantaneous motions. Predicting the complex behaviour of turbulent fluid flow over surfaces in relative motion is central to atmospheric modelling for climate and agriculture, and reducing the environmental effect of fossil fuel usage. Wall-turbulence statistics organise according to a pr ....Geometry of wall-turbulence and its potential to advance scalable models. This project aims to unravel the connections between the statistical geometry of wall-turbulence and the dynamical interactions of its instantaneous motions. Predicting the complex behaviour of turbulent fluid flow over surfaces in relative motion is central to atmospheric modelling for climate and agriculture, and reducing the environmental effect of fossil fuel usage. Wall-turbulence statistics organise according to a predictable geometric structure, and the notorious complexity of turbulent wall-flow dynamics could be clarified through its inherent geometry. This project expects to construct a basis for predicting engineering and atmospheric wall-flows, which would enhance atmospheric flow prediction, reduce energy consumption and further environmental sustainability.Read moreRead less
Self-similar scale interactions in turbulent boundary layers. Predicting and controlling turbulent fluid flow next to a solid surface (the turbulent boundary layer) is of critical importance to ensuring a sustainable energy and environmental future. While recent research has yielded a clearer physical understanding of these flows, converting this understanding into tools useful to engineering practice remains a central obstacle. The proposed research directly addresses this fundamental challenge ....Self-similar scale interactions in turbulent boundary layers. Predicting and controlling turbulent fluid flow next to a solid surface (the turbulent boundary layer) is of critical importance to ensuring a sustainable energy and environmental future. While recent research has yielded a clearer physical understanding of these flows, converting this understanding into tools useful to engineering practice remains a central obstacle. The proposed research directly addresses this fundamental challenge by precisely connecting the eddy interactions of the turbulence to the mathematical equations that rigorously describe these flows. As such it holds breakthrough potential toward the development of turbulent boundary layer prediction and control schemes that do not rely on ad hoc models or assumptions.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100968
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Lifting the Veil on Turbulent Convective Heat Transfer over Rough Surfaces. By understanding the influence of surface roughness on convective heat transfer, this project intends to reduce the unwanted heating and energy losses associated with surface roughness in gas and steam turbines used in power generation and transportation. The surface roughness that results from extended operation of gas and steam turbines can significantly increase the heating of their surfaces, increasing fuel consumpti ....Lifting the Veil on Turbulent Convective Heat Transfer over Rough Surfaces. By understanding the influence of surface roughness on convective heat transfer, this project intends to reduce the unwanted heating and energy losses associated with surface roughness in gas and steam turbines used in power generation and transportation. The surface roughness that results from extended operation of gas and steam turbines can significantly increase the heating of their surfaces, increasing fuel consumption and greenhouse gas emissions, and reducing operational life. Improvements would allow turbines to operate at higher inlet temperatures which will increase their efficiency and reduce fuel use, environmental emissions and maintenance costs.Read moreRead less
Growing a multi-scale internal structure: new wrought metals for energy conservation. This research aims to reduce the weight of wrought metal parts so that transport and machinery will use less energy. It will establish how to grow novel multi-scale internal structures and will thereby pioneer a new class of metals that display superior properties.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE180100203
Funder
Australian Research Council
Funding Amount
$956,700.00
Summary
Novel diagnostics capabilities in reacting, particle-laden flows. This project aims to establish innovative capabilities for advanced diagnostics techniques to be applied in reacting, particle-laden flows over a range of pressures. The complementary measurements are expected to provide an unprecedented understanding of the dynamics of liquid fragments and solid particles in flames. The resulting data, and improved knowledge, will set the framework for more effective predictive methods that assis ....Novel diagnostics capabilities in reacting, particle-laden flows. This project aims to establish innovative capabilities for advanced diagnostics techniques to be applied in reacting, particle-laden flows over a range of pressures. The complementary measurements are expected to provide an unprecedented understanding of the dynamics of liquid fragments and solid particles in flames. The resulting data, and improved knowledge, will set the framework for more effective predictive methods that assist in the design of cleaner and efficient processes that benefit a range of applications, from engine design to the generation of new fuels, and the flame synthesis of novel materials.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100416
Funder
Australian Research Council
Funding Amount
$365,446.00
Summary
A predictive tool for low-emission gas turbine combustors. This project aims to develop a powerful tool for prediction of combustion noise using high-fidelity simulations. Combustion-generated sound is a major inhibitor to the development of low-emission, highly-efficient gas turbines as it can initiate "thermoacoustic instability", leading to engine failure in extreme cases. This project will lead to the advancement of fast start-up, low-emission, gas turbines which can complement renewable en ....A predictive tool for low-emission gas turbine combustors. This project aims to develop a powerful tool for prediction of combustion noise using high-fidelity simulations. Combustion-generated sound is a major inhibitor to the development of low-emission, highly-efficient gas turbines as it can initiate "thermoacoustic instability", leading to engine failure in extreme cases. This project will lead to the advancement of fast start-up, low-emission, gas turbines which can complement renewable energy technologies to provide reliable electricity to Australians.Read moreRead less
Advancing a first-principles basis for the prediction and manipulation of turbulent wall-flow transport. This project aims to advance the design of energy efficient and environmentally friendly processes and devices by developing analysis tools that tell us how to predict and control the heat and momentum transport caused by turbulent flow near a solid surface. The expected outcomes are ways to accomplish these aims via the direct use of the basic physical laws.