Mr Anton Van Der Vegt
Advanced QLD Industry Research Fellow
Centre for Health Services Research
Journal Articles
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
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
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. doi: 10.1177/17511437241246901
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
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
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
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
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
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
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
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
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.
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
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
Thesis
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