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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

17 works between 2018 and 2024

1 - 17 of 17 works

2024

Journal Article

Implementing AI in Hospitals to Achieve a Learning Health System: Systematic Review of Current Enablers and Barriers

Kamel Rahimi, Amir, Pienaar, Oliver, Ghadimi, Moji, Canfell, Oliver J., Pole, Jason D., Shrapnel, Sally, van der Vegt, Anton H. and Sullivan, Clair (2024). Implementing AI in Hospitals to Achieve a Learning Health System: Systematic Review of Current Enablers and Barriers. Journal of Medical Internet Research, 26 e49655, 1-29. doi: 10.2196/49655

Implementing AI in Hospitals to Achieve a Learning Health System: Systematic Review of Current Enablers and Barriers

2024

Journal Article

Achieving large-scale clinician adoption of AI-enabled decision support

Scott, Ian A., van der Vegt, Anton, Lane, Paul, McPhail, Steven and Magrabi, Farah (2024). Achieving large-scale clinician adoption of AI-enabled decision support. BMJ Health & Care Informatics, 31 (1) ARTN e100971, e100971. doi: 10.1136/bmjhci-2023-100971

Achieving large-scale clinician adoption of AI-enabled decision support

2024

Journal Article

Seamless EMR data access: integrated governance, digital health and the OMOP-CDM

Hallinan, Christine Mary, Ward, Roger, Hart, Graeme K., Sullivan, Clair, Pratt, Nicole, Ng, Ashley P., Capurro, Daniel, Van Der Vegt, Anton, Liaw, Siaw-Teng, Daly, Oliver, Luxan, Blanca Gallego, Bunker, David and Boyle, Douglas (2024). Seamless EMR data access: integrated governance, digital health and the OMOP-CDM. BMJ Health and Care Informatics, 31 (1) e100953, e100953. doi: 10.1136/bmjhci-2023-100953

Seamless EMR data access: integrated governance, digital health and the OMOP-CDM

2024

Journal Article

Systematic review and longitudinal analysis of implementing Artificial Intelligence to predict clinical deterioration in adult hospitals: what is known and what remains uncertain

van der Vegt, Anton H., Campbell, Victoria, Mitchell, Imogen, Malycha, James, Simpson, Joanna, Flenady, Tracy, Flabouris, Arthas, Lane, Paul J., Mehta, Naitik, Kalke, Vikrant R., Decoyna, Jovie A., Es’haghi, Nicholas, Liu, Chun-Huei and Scott, Ian A (2024). Systematic review and longitudinal analysis of implementing Artificial Intelligence to predict clinical deterioration in adult hospitals: what is known and what remains uncertain. Journal of the American Medical Informatics Association, 31 (2), 509-524. doi: 10.1093/jamia/ocad220

Systematic review and longitudinal analysis of implementing Artificial Intelligence to predict clinical deterioration in adult hospitals: what is known and what remains uncertain

2024

Journal Article

Intensive care unit admission criteria: a scoping review

Soares, James, Leung, Catherine, Campbell, Victoria, Van Der Vegt, Anton, Malycha, James and Andersen, Christopher (2024). Intensive care unit admission criteria: a scoping review. Journal of the Intensive Care Society, 25 (3), 296-307. doi: 10.1177/17511437241246901

Intensive care unit admission criteria: a scoping review

2023

Journal Article

Why clinical artificial intelligence is (almost) non-existent in Australian hospitals and how to fix it

van der Vegt, Anton, Campbell, Victoria and Zuccon, Guido (2023). Why clinical artificial intelligence is (almost) non-existent in Australian hospitals and how to fix it. Medical Journal of Australia, 220 (4), 172-175. doi: 10.5694/mja2.52195

Why clinical artificial intelligence is (almost) non-existent in Australian hospitals and how to fix it

2023

Journal Article

Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy

Kamel Rahimi, Amir, Ghadimi, Moji, van der Vegt, Anton H., Canfell, Oliver J., Pole, Jason D., Sullivan, Clair and Shrapnel, Sally (2023). Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy. BMC Medical Informatics and Decision Making, 23 (1) 207, 1-14. doi: 10.1186/s12911-023-02306-0

Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy

2023

Journal Article

Implementation frameworks for end-to-end clinical AI: derivation of the SALIENT framework

van der Vegt, Anton H., Scott, Ian A., Dermawan, Krishna, Schnetler, Rudolf J., Kalke, Vikrant R. and Lane, Paul J. (2023). Implementation frameworks for end-to-end clinical AI: derivation of the SALIENT framework. Journal of the American Medical Informatics Association, 30 (9), 1503-1515. doi: 10.1093/jamia/ocad088

Implementation frameworks for end-to-end clinical AI: derivation of the SALIENT framework

2023

Journal Article

Deployment of machine learning algorithms to predict sepsis: systematic review and application of the SALIENT clinical AI implementation framework

van der Vegt, Anton H., Scott, Ian A., Dermawan, Krishna, Schnetler, Rudolf J., Kalke, Vikrant R. and Lane, Paul J. (2023). Deployment of machine learning algorithms to predict sepsis: systematic review and application of the SALIENT clinical AI implementation framework. Journal of the American Medical Informatics Association, 30 (7), 1349-1361. doi: 10.1093/jamia/ocad075

Deployment of machine learning algorithms to predict sepsis: systematic review and application of the SALIENT clinical AI implementation framework

2023

Journal Article

AgAsk: an agent to help answer farmer’s questions from scientific documents

Koopman, Bevan, Mourad, Ahmed, Li, Hang, van der Vegt, Anton, Zhuang, Shengyao, Gibson, Simon, Dang, Yash, Lawrence, David and Zuccon, Guido (2023). AgAsk: an agent to help answer farmer’s questions from scientific documents. International Journal on Digital Libraries. doi: 10.1007/s00799-023-00369-y

AgAsk: an agent to help answer farmer’s questions from scientific documents

2022

Journal Article

Toward a learning health care system: a systematic review and evidence-based conceptual framework for implementation of clinical analytics in a digital hospital

Lim, Han Chang, Austin, Jodie A., van der Vegt, Anton H., Rahimi, Amir Kamel, Canfell, Oliver J., Mifsud, Jayden, Pole, Jason D., Barras, Michael A., Hodgson, Tobias, Shrapnel, Sally and Sullivan, Clair M. (2022). Toward a learning health care system: a systematic review and evidence-based conceptual framework for implementation of clinical analytics in a digital hospital. Applied Clinical Informatics, 13 (02), 339-354. doi: 10.1055/s-0042-1743243

Toward a learning health care system: a systematic review and evidence-based conceptual framework for implementation of clinical analytics in a digital hospital

2021

Journal Article

Do better search engines really equate to better clinical decisions? If not, why not?

van der Vegt, Anton, Zuccon, Guido and Koopman, Bevan (2021). Do better search engines really equate to better clinical decisions? If not, why not?. Journal of the Association for Information Science and Technology, 72 (2) asi.24398, 141-155. doi: 10.1002/asi.24398

Do better search engines really equate to better clinical decisions? If not, why not?

2020

Journal Article

How searching under time pressure impacts clinical decision making

Van der Vegt, Anton, Zuccon, Guido, Koopman, Bevan and Deacon, Anthony (2020). How searching under time pressure impacts clinical decision making. Journal of the Medical Library Association, 108 (4), 564-573. doi: 10.5195/jmla.2020.915

How searching under time pressure impacts clinical decision making

2020

Other Outputs

Minimal interaction Information Retrieval: a theoretical framework with applications in clinical decision support

van der Vegt, Anton (2020). Minimal interaction Information Retrieval: a theoretical framework with applications in clinical decision support. PhD Thesis, School of Information Technology and Electrical Engineering, The University of Queensland. doi: 10.14264/uql.2020.888

Minimal interaction Information Retrieval: a theoretical framework with applications in clinical decision support

2020

Journal Article

Learning inter-sentence, disorder-centric, biomedical relationships from medical literature

van der Vegt, Anton H., Zuccon, Guido and Koopman, Bevan (2020). Learning inter-sentence, disorder-centric, biomedical relationships from medical literature. AMIA Annual Symposium. Proceedings, 2019, 1216-1225.

Learning inter-sentence, disorder-centric, biomedical relationships from medical literature

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

  • 2024 - 2029
    NASCENT: Translating AI research to clinical practice; 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

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Supervision history

Current supervision

Media

Enquiries

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