We want health care to be as cost-effective and productive as possible—and our research allows the industry to make informed decisions to this end.
The Health Economics Group has developed methods for the extraction and analysis of routinely collected health care and mortality data, which we use to look at the variations in clinical practice.
We evaluate the major health initiatives in South Australia, where we identify areas of success and priority areas for action. We have also contributed to the field of cost-effectiveness modelling for comparing different decision modelling techniques—including discrete event simulation (DES) for Health Technology Assessment.
DES has traditionally been used in the engineering and operations research fields. The use of DES to inform decisions about health technologies is still in its infancy. We have demonstrated that DES is a powerful tool with tremendous flexibility for Health Technology Assessment. Thus far, DES has been successfully applied to the problem of screening strategies for breast cancer surveillance.
The Health Economics Group has also developed novel methods for model calibration, as well as reviews of methods for evaluating screening programs, priority setting, model performance evaluation, and the value of reference models. Our methodological work around modelling techniques and model calibration is internationally recognised and has been cited in modelling good practice guidelines.
Lead researcher: Professor John Karnon
We offer exciting opportunities for researchers at the honours, masters and PhD levels. Our research degrees are open to students from a broad range of backgrounds, and range from basic sciences to clinical research. If you are interested in human health, consider furthering your research career with us.