Researcher Spotlight: Qing Xia
Dr Qing Xia, AusHSI Research Fellow - Health Economics, explores the ways in which health services innovation can optimise the performance of the health system.
Dr Qing Xia, AusHSI Research Fellow - Health Economics, explores the ways in which health services innovation can optimise the performance of the health system.
Dr Zephanie Tyack has been selected as the 2023 Everett Idris Evans Memorial Lecture Award recipient by the American Burn Association (ABA) in recognition of her outstanding contributions to the field.
Dr Wendell Cockshaw, AusHSI Senior Research Fellow - Statistics, explores how the digital transformation of healthcare is helping to find solutions to major public health challenges.
AusHSI Research Fellow David Borg has expertise in exercise physiology, statistics, and meta-science. In this blog, David shares his perspectives on the importance of health services innovation.
Three Bowen Basin communities are the focus of NAVICARE, a co-designed project to improve and expand access to mental health services in regional and remote areas under a $780,000 NHMRC Partnership Project.
MTPConnect announces $6.7 million funding for nine diabetes and cardiovascular disease research projects through the Targeted Translation Research Accelerator (TTRA) program.
QUT has received a $1,145,483 grant from the National Health and Medical Research Council (NHMRC) to trial new care strategies that reduce postoperative risks to patients from loss of body heat during surgery.
AusHSI PhD Scholar Sumudu Hewage has been awarded a prestigious Queensland Cardiovascular Research Network (QCVRN) scholarship.
AusHSI Research Associate Kamila Davidson shares her views on why health services research is important, and what health services innovation means to her.
A Discrete Choice Experiment (DCE) is a method used to elicit individual preferences for different aspects of services, programs, or products. Learn how DCEs are being used in Health Services Research to understand how choices are made and predict future choice responses.