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2026 Journal Article How can we prevent clinical deskilling when using AI?Scott, Ian, van der Vegt, Anton and Douglas, Peter (2026). How can we prevent clinical deskilling when using AI?. BMJ Quality and Safety, 35 (10), 722-726. doi: 10.1136/bmjqs-2026-020130 |
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2026 Journal Article Clinicians’ Perspectives on the Design of Multi-Output AI-Based Early Warning Systems for Clinical Deterioration: A Qualitative AnalysisNoselli, Monica, Vegt, Anton Van Der, Cordeil, Maxime, Campbell, Victoria and Scott, Ian A. (2026). Clinicians’ Perspectives on the Design of Multi-Output AI-Based Early Warning Systems for Clinical Deterioration: A Qualitative Analysis. Journal of Technology in Behavioral Science. doi: 10.1007/s41347-026-00716-1 |
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2026 Journal Article Effects of continuing or withholding angiotensin axis blockers prior to elective surgery: The PAAB randomized clinical trialScott, Ian A., White, Kyle, Highton, David, Kearney, Allison, Caney, Xenia and Bernard, Anne (2026). Effects of continuing or withholding angiotensin axis blockers prior to elective surgery: The PAAB randomized clinical trial. Journal of Hospital Medicine jhm.70483. doi: 10.1002/jhm.70483 |
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2026 Journal Article An evaluation of clinician and informatician perspectives on medication harm risk prediction tools for use in a tertiary hospital settingLam, Jonathan Yong Jie, Barras, Michael, Scott, Ian A, Abdel-Hafez, Ahmad and Falconer, Nazanin (2026). An evaluation of clinician and informatician perspectives on medication harm risk prediction tools for use in a tertiary hospital setting. Journal of evaluation in clinical practice, 32 (6). doi: 10.1111/jep.70592 |
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2026 Journal Article CXRMate-2: Structured multimodal temporal embeddings and tractable reinforcement learning for clinically acceptable chest X-ray radiology report generationNicolson, Aaron, Cooper, Elizabeth J., Yoon, Hwan-Jin, McCafferty, Claire, Krishnan, Ramya, Craigie, Michelle, Saad, Nivene, Dowling, Jason, Scott, Ian A. and Koopman, Bevan (2026). CXRMate-2: Structured multimodal temporal embeddings and tractable reinforcement learning for clinically acceptable chest X-ray radiology report generation. Informatics in Medicine Unlocked, 66 101816, 101816. doi: 10.1016/j.imu.2026.101816 |
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2026 Journal Article Effects of an ambient AI scribe used to document patient encounters in hospital: a prospective, multisite, multidisciplinary before-and-after cohort studyScott, Ian, Stockton, Kellie, Kar Ray, Manaan, Hill, Mish, Cooke, Georga, Staib, Andrew, Lumchee, Matthew, Townsend, Simon, Wilson, Gregg, Massey, Anshumali, Scanlon, Alan, Bernard, Anne and Canaris, Stephen (2026). Effects of an ambient AI scribe used to document patient encounters in hospital: a prospective, multisite, multidisciplinary before-and-after cohort study. BMJ Connections Digital Health and AI, 1 (1) e000008, 1-8. doi: 10.1136/bmjcdh-2026-000008 |
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2026 Journal Article Using artificial intelligence in clinical practice: Royal Australasian College of Physicians position statementScott, Ian A., White, Christian, Shaw, Tim, Slade, Christine, Wan, Tai Tak, Barmanray, Rahul, Coorey, Craig, Johnson, Sandra L. J., Bell, Lana, Herd, Michael, Kanhutu, Kudzai and Sullivan, Clair M. (2026). Using artificial intelligence in clinical practice: Royal Australasian College of Physicians position statement. Internal Medicine Journal imj.70594. doi: 10.1111/imj.70594 |
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2026 Journal Article How can clinicians decide if AI‐enabled risk prediction models are fit for purpose for real world use?Scott, Ian A., van der Vegt, Anton H., Campbell, Victoria, Lane, Paul J., Rice, Michael and Venkatesh, Balasubramanian (2026). How Can Clinicians Decide if AI‐Enabled Risk Prediction Models Are Fit for Purpose for Real World Use?. Journal of Evaluation in Clinical Practice, 32 (5) e70557, e70557-e70557. doi: 10.1111/jep.70557 |
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2026 Journal Article Can AI assist in reducing diagnostic error? A narrative reviewScott, Ian A. (2026). Can AI assist in reducing diagnostic error? A narrative review. Diagnosis. doi: 10.1515/dx-2026-0021 |
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2026 Book Chapter Deprescribing in clinical practice: evidence, implementation, and the role of pharmacistsLiau, Shin J., Falconer, Nazanin, Liu, Bonnie M., Scott, Ian A., Hilmer, Sarah N. and Reeve, Emily (2026). Deprescribing in clinical practice: evidence, implementation, and the role of pharmacists. Reference module in biomedical sciences. (pp. *-*) Amsterdam, Netherlands: Elsevier. doi: 10.1016/b978-0-443-26472-6.00008-5 |
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2026 Journal Article Machine learning models for predicting dosing of oral anticoagulants: a systematic reviewBarras, Michael, Hanjani, Leila Shafiee, Scott, Ian A., Abdel‐Hafez, Ahmad and Falconer, Nazanin (2026). Machine learning models for predicting dosing of oral anticoagulants: a systematic review. Journal of Pharmacy Practice and Research, 56 (1), 16-46. doi: 10.1002/jppr.70054 |
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2026 Journal Article National Heart Foundation of Australia and Cardiac Society of Australia and New Zealand: Australian Clinical Guideline for Diagnosing and Managing Acute Coronary Syndromes 2025Brieger, David B., Cullen, Louise A., Briffa, Tom G., Zaman, Sarah, Scott, Ian A., Papendick, Cynthia, Ho, Elaine, Leitch, Victoria, Dougherty, Dannii and Jennings, Garry (2026). National Heart Foundation of Australia and Cardiac Society of Australia and New Zealand: Australian Clinical Guideline for Diagnosing and Managing Acute Coronary Syndromes 2025. Medical Journal of Australia, 224 (2) e70127, 1-19. doi: 10.5694/mja2.70127 |
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2026 Journal Article Machine learning risk prediction models for medication harm in hospitalised adult patientsLam, Jonathan Yong Jie, Barras, Michael, Scott, Ian A., Masood, Hassan, Abdel-Hafez, Ahmad and Falconer, Nazanin (2026). Machine learning risk prediction models for medication harm in hospitalised adult patients. Therapeutic Advances in Drug Safety, 17 20420986251409325, 20420986251409325. doi: 10.1177/20420986251409325 |
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2026 Journal Article Using workload capacity indicators to evaluate rule-based early warning tools and their relationship to escalation eventsvan der Vegt, Anton H., Campbell, Victoria, Mitchell, Imogen, Redfern, Oliver C., Subbe, Christian, Conway, Roger, Flabouris, Arthas, Blythe, Robin, Schnetler, Rudolf, Perkins, Christopher, Mehta, Naitik and Scott, Ian A. (2026). Using workload capacity indicators to evaluate rule-based early warning tools and their relationship to escalation events. Digital Health, 12, 20552076251404509. doi: 10.1177/20552076251404509 |
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2026 Journal Article Corrigendum to: National Heart Foundation of Australia & Cardiac Society of Australia and New Zealand: Comprehensive Australian Clinical Guideline for Diagnosing and Managing Acute Coronary Syndromes 2025” [Heart Lung Circ. 34(4) (2025) 309–397.]Brieger, David, Cullen, Louise, Briffa, Tom, Zaman, Sarah, Scott, Ian, Papendick, Cynthia, Bardsley, Kimberley, Baumann, Angus, Bennett, Alexandra (Sasha), Clark, Robyn A., Edelman, J. James, Inglis, Sally C., Kuhn, Lisa, Livori, Adam, Redfern, Julie, Schneider, Hans, Stewart, Jeanine, Thomas, Liza, Wing-Lun, Edwina, Zhang, Ling, Ho, Elaine and Matthews, Stacey (2026). Corrigendum to: National Heart Foundation of Australia & Cardiac Society of Australia and New Zealand: Comprehensive Australian Clinical Guideline for Diagnosing and Managing Acute Coronary Syndromes 2025” [Heart Lung Circ. 34(4) (2025) 309–397.]. Heart, Lung and Circulation, 35 (1), e12-e13. doi: 10.1016/j.hlc.2025.12.009 |
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2025 Journal Article Exploring consumer and healthcare professional perspectives on discharge medicine communication and solutions for safer transitions of careOldfield, Leslie E., Yong, Faith, Baysari, Melissa, Foot, Holly, Manias, Elizabeth, Scott, Ian, Sim, Tin Fei, Keijzers, Gerben, Morgan, Mark, Mullan, Barbara, Norman, Richard, Jackson, Claire and Hattingh, Laetitia (2025). Exploring consumer and healthcare professional perspectives on discharge medicine communication and solutions for safer transitions of care. BMC Health Services Research, 26 (1) 98, 1-12. doi: 10.1186/s12913-025-13900-5 |
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2025 Journal Article Caring About Value: A grounded theory of the quest to move towards higher value care in hospitalsTyack, Zephanie, Allen, Michelle J., Scott, Ian, Campbell, Katrina L., Kimble, Roy, Chang, Anne B. and McPhail, Steven M. (2025). Caring About Value: A grounded theory of the quest to move towards higher value care in hospitals. SSM - Qualitative Research in Health, 8 100653, 1-13. doi: 10.1016/j.ssmqr.2025.100653 |
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2025 Journal Article Using generative artificial intelligence in clinical practice: a narrative review and proposed agenda for implementationScott, Ian A, Reddy, Sandeep, Kelly, Tanya, Miller, Tim and van der Vegt, Anton (2025). Using generative artificial intelligence in clinical practice: a narrative review and proposed agenda for implementation. Medical Journal of Australia, 223 (11) mja2.70057, 664-672. doi: 10.5694/mja2.70057 |
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2025 Journal Article A novel, standardised approach to balancing effectiveness, efficiency and utility of surveillance AI prediction models for hospitalised patients using sepsis prediction as an exemplarvan der Vegt, Anton H, Campbell, Victoria K, Webb, Robert, Venkatesh, Balasubramanian, Lane, Paul J, Wilks, Kathryn, McPhail, Steven, Rice, Michael, Isaacs, Tara, Abdel-Hafez, Ahmad, Whebell, Stephen, Irwin, Adam, Schnetler, Rudolf J, Shetty, Amith and Scott, Ian A (2025). A novel, standardised approach to balancing effectiveness, efficiency and utility of surveillance AI prediction models for hospitalised patients using sepsis prediction as an exemplar. Journal of the American Medical Informatics Association : JAMIA, 33 (2) ocaf192, 304-315. doi: 10.1093/jamia/ocaf192 |
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2025 Journal Article How can we promote greater adoption of AI in healthcare?Scott, Ian, Cresswell, Kathrin, Williams, Robin and van der Vegt, Anton (2025). How can we promote greater adoption of AI in healthcare?. BMJ Quality and Safety, 35 (4), 288-292. doi: 10.1136/bmjqs-2025-019405 |
