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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

2024

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 (2024). AgAsk: an agent to help answer farmer’s questions from scientific documents. International Journal on Digital Libraries, 25 (4), 569-584. doi: 10.1007/s00799-023-00369-y

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

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

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

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