AusHSI researchers, Professor Anne Chang AM and Professor Adrian Barnett, have been announced as members of the NHMRC Research Committee for 2024 to 2027. AusHSI Adjunct Professor Ginny Barbour has been appointed to the NHMRC-Medical Research Future Fund (MRFF) Public Health and Health Systems Committee.
Megan Campbell has been welcomed as the new Chair of the Deeble Institute Advisory Board. Her extensive experience in health services research and commitment to stakeholder engagement will be instrumental in guiding future initiatives.
QUT Associate Professor Susanna Cramb was recently honoured with the Judges’ Award at the Queensland Women in STEM Prize Awards. Susanna received the Judges’ Award for her groundbreaking work in developing statistical methods to identify, understand, and address health inequities across Australia.
A new QUT-made film commissioned by the Jamieson Trauma Institute presents the Institute’s vision of how trauma care and a mass casualty event in Queensland should be responded to in the future.
QUT is celebrating the awarding of $7.7 million in ARC Discovery grants to fund 15 research projects. Researchers from AusHSI are among the recipients, with their project aimed at Addressing significant product safety knowledge gaps for older Australians receiving a grant of $533,965.
The AusHSI Research Team had a strong presence at the 12th Health Services Research Conference. Delegates explored themes of resilience, innovation and value, and the role of HSR in embedding these principles into our health systems.
Brett Droder, Genevieve Westacott and Jesani Catchpoole have rare research-centric positions as Health Information Managers at JTI, using their health information knowledge and diverse expertise to work with trauma data.
The impact of sustaining an injury on an individual can be life altering. Learn how AusHSI and JTI are working to transform trauma care in Queensland and beyond.
AusHSI-JTI PhD students Jacelle Warren, Adam Rolley and Sam Borg are researching how to better use commonly collected health data to enhance the outcomes of injury.
The Queensland Injury Surveillance Unit (QISU) has developed an automated means of classifying injury data via machine learning to assist human coders in their manual coding and validation activities.
