Hear about AusHSI PhD candidate Adele Van den Hoek’s running journey with the AusHSI running group, and what inspired her to complete the QUT Classic, in a recent interview with QUT Graduate Research Education + Development (GRE+D).
What questions about research funding would you like to see answered by research? The Association for Interdisciplinary Meta-Research and Open Science (AIMOS) is asking people to vote to collectively find the most important questions in research funding.
Dr Paul Kuwornu, AusHSI Senior Research Fellow - Health Economics, thinks of innovation in health services as embracing technology and change to create the right framework to deliver and improve health care.
When patients fall, their health can decline rapidly. As part of his recently completed PhD, Rex Parsons explored a decision support tool that supports the provision of value-based health care, and discovered an interest in software development.
AusHSI PhD students attended the Digital Health Cooperative Research Centre's Curiosity Camp at Lake Crackenback in NSW, which brought together emerging leaders, consumers, innovators and researchers to address real-world healthcare problems.
Held at the University of Wollongong, the 2023 Australian Statistical Conference theme was 'Statisticians in society', acknowledging the important contributions that statisticians make as technical experts and communicators in an increasingly data-dependent world.
Over 200+ health system leaders gathered at the Value-Based Health Care Congress at QUT Gardens Point on 26-27 October to discuss the global Value-Based Health Care movement (VBHC), and what it means in the context of Australia.
Dr Michelle Allen, AusHSI Research Fellow - Implementation Science, shares her perspective on the healthcare system and how shifting the status quo can deliver real improvements.
If you've ever questioned typical scientific practice and wondered how it could be improved, then join us at AIMOS 2023. We can guarantee you will learn a lot about the workings of science and how we can all improve it.
The AusHSI statistics team has developed two new Shiny applications to help researchers synthesise evidence for literature reviews and health economic modelling.
