
Overview
Background
Dr Anton Van Der Vegt is an Advanced QLD Industry Research Fellow with the Centre for Health Services Research at UQ Faculty of Medicine. He trained as a Mechanical Engineer and Computer Scientist at University of Sydney and has worked across Australia, Europe, the US and India, designing, developing and implementing sophisticated software programs for multi-nationals as well as co-authoring two US patents. Having moved to England in 2001, he worked with several technology firms and published a book to support managers in their efforts to transform their organisations through IT. In 2005 he became the Director of Operations for a public Healthcare IT company, with budget responsibility over 100 professional staff performing electronic medical record system implementation across UK hospitals. In 2020 he gained a PhD through The University of Queensland on the application of AI with information retrieval to support clinical decision making. Since then, he has architected and managed two collaboratory projects with Queensland Health to support AI experimentation with health data. Most recently, he was awarded an Advance Queensland Industry Research Fellowship to pursue collaboratory research with Queensland Health to develop and implement AI algorithms to identify patients at risk of deterioration in hospital general wards. He is also a co-investigator on a Queensland Health sepsis prediction project.
Availability
- Mr Anton Van Der Vegt is:
- Available for supervision
Qualifications
- Bachelor (Honours) of Engineering - Mechanical, University of Sydney
- Doctor of Philosophy, The University of Queensland
Works
Search Professor Anton Van Der Vegt’s works on UQ eSpace
2018
Journal Article
The impact of a search engine on clinical decisions under time and system effectiveness constraints: research protocol
van der Vegt, Anton, Zuccon, Guido, Koopman, Bevan and Deacon, Anthony (2018). The impact of a search engine on clinical decisions under time and system effectiveness constraints: research protocol. JMIR Research Protocols, 8 (5) e12803, e12803-213. doi: 10.2196/12803
2018
Journal Article
A task completion framework to support single-interaction IR research
van der Vegt, Anton, Zuccon, Guido, Koopman, Bevan and Bruza, Peter (2018). A task completion framework to support single-interaction IR research. Journal of Documentation, 74 (2), 289-308. doi: 10.1108/jd-09-2017-0128
Supervision
Availability
- Mr Anton Van Der Vegt is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Supervision history
Current supervision
-
Doctor Philosophy
Methods for presenting clinical AI predictions to clinicians
Principal Advisor
Other advisors: Professor Ian Scott, Dr Maxime Cordeil
-
Doctor Philosophy
Sample sub-group algorithm bias analysis for machine learning evaluation in the clinical domain
Principal Advisor
Other advisors: Professor Clair Sullivan, Dr Andrew Mallett, Professor Guido Zuccon, Professor Emma McBryde
-
Doctor Philosophy
How can we streamline the extraction and validation of data from EMRs to inform a learning health care system?
Associate Advisor
Other advisors: Professor Jason Pole, Professor Clair Sullivan
-
Doctor Philosophy
Evidence-based Large Language Models as Health Information Mediators
Associate Advisor
Other advisors: Professor Guido Zuccon
Media
Enquiries
For media enquiries about Mr Anton Van Der Vegt's areas of expertise, story ideas and help finding experts, contact our Media team: