Emergency Department Collaborative Research Group
We are the overarching group for research conducted in the Emergency Department. Our vision is to integrate research seamlessly into clinical practice and education while shaping new guidelines and policy.
In 2024, our group achieved significant milestones, including the publication of over 91 articles in peer-reviewed journals, involvement in more than 150 research projects, and…
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Latest Emergency Department Research News
More than $1.7 million in upgrades to Gold Coast University Hospital’s triage areas are now complete, further supporting patient safety and…
The motivation of our Emergency Department Collaborative Research Group remains the same with every study: Keep patient care at the centre of its…
Dr Gerben Keijzers is a Senior Staff Specialist Emergency Physician at the Gold Coast University Hospital Emergency Department.
Dr Keijzers…
Our research pillars
Current projects
Deliberate Clinical Inertia is the art of doing nothing as a positive response, focusing on avoiding harm. The concept aligns with…
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We propose to conduct a multi-centre blinded cluster cross over randomised clinical trial (RCT) of plasmalyte (PL), a balanced salt solution…
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Publications
Snelling, P.J., Jones, P., Keijzers, G., Bade, D., Herd, D.W. and Ware, R.S., 2020. Nurse practitioner administered point-of-care ultrasound compared with X-ray for children with clinically non-angulated distal forearm fractures in the ED: a diagnostic study. Emergency Medicine Journal. Sept 2020
Background: Paediatric distal forearm fractures are a common ED presentation. They can be diagnosed with point-of-care ultrasound (POCUS) as an alternative to X-rays. Given that ED nurse practitioners (NPs) are relied on for the diagnosis of paediatric fractures, it is important to describe the diagnostic accuracy of NP-conducted POCUS versus X-ray.
Pellatt, R., Bolot, R., Sweeny, A., Gibbs, C. and O'Gorman, J., 2020. Rural and Remote Intubations in An Australian Aeromedical Retrieval Service: A Retrospective Cohort Study.
Walker, K., Jiarpakdee, J., Loupis, A., Tantithamthavorn, C., Joe, K., Ben-Meir, M., Akhlaghi, H., Hutton, J., Wang, W., Stephenson, M., Sweeny, A. and Blecher, G., 2021. Emergency medicine patient wait time multivariable prediction models: a multicentre derivation and validation study. medRxiv.
