Skip to menu Skip to content Skip to footer
Mr Anton Van Der Vegt
Mr

Anton Van Der Vegt

Email: 
Phone: 
+61 7 344 33759

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

22 works between 2018 and 2025

21 - 22 of 22 works

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

The impact of a search engine on clinical decisions under time and system effectiveness constraints: research protocol

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

A task completion framework to support single-interaction IR research

Funding

Current funding

  • 2025 - 2027
    Rise--For Recovery, Information, Support, Empowerment after road traffic injury - an innovative text messaging pilot study
    Motor Accident Insurance Commission
    Open grant
  • 2024 - 2029
    NASCENT: National infrastructure for real-time clinical AI trials
    MRFF - National Critical Infrastructure Initiative
    Open grant
  • 2022 - 2025
    Using AI to save lives: identifying deteriorating patients earlier and more accurately from health records
    Advance Queensland Industry Research Fellowships
    Open grant

Past funding

  • 2022 - 2023
    SMART Project - Towards Systematic Maturation of Analytics and System Redesign to Transform (SMART) Healthcare and Public Health Research
    Queensland Health
    Open grant

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

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:

communications@uq.edu.au