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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, e70127-2. doi: 10.5694/mja2.70127 |
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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 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, MHServMgt, Naitik Mehta 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, 20552076251404509-12. 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 |
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2025 Journal Article Impact evaluation of the modified adverse inpatient medication event (AIME-Frail) model in hospitalised adultsJie Lam, Jonathan Yong, Barras, Michael, Scott, Ian A., Hafez, Ahmad Abdel, Snoswell, Centaine, Gordon, Emily, Morris, Christopher, Long, Duncan, Wang, Andre and Falconer, Nazanin (2025). Impact evaluation of the modified adverse inpatient medication event (AIME-Frail) model in hospitalised adults. Research in Social and Administrative Pharmacy, 21 (9), 687-696. doi: 10.1016/j.sapharm.2025.04.002 |
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2025 Journal Article Medicinal cannabis: is current use clinically justified?Scott, Russ J. and Scott, Ian A. (2025). Medicinal cannabis: is current use clinically justified?. Internal Medicine Journal, 55 (9), 1433-1444. doi: 10.1111/imj.70094 |
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2025 Journal Article Proposing core competencies for physicians in using artificial intelligence tools in clinical practiceScott, Ian A., Shaw, Tim, Slade, Christine, Wan, Tai Tak, Barmanray, Rahul, Coorey, Craig, Johnson, Sandra L. J., Bell, Lana, Herd, Michael and Sullivan, Clair M. (2025). Proposing core competencies for physicians in using artificial intelligence tools in clinical practice. Internal Medicine Journal, 55 (8), 1403-1409. doi: 10.1111/imj.70112 |
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2025 Journal Article Enablers and barriers to conducting research in general medicine advanced trainingYe, Sylvia, Hean, Rattanak Visal, Chen, Mandy, Potter, Elizabeth, Scott, Ian and Aung, Ar Kar (2025). Enablers and barriers to conducting research in general medicine advanced training. Internal Medicine Journal, 55 (8), 1387-1391. doi: 10.1111/imj.70143 |
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2025 Journal Article Preparing healthcare organisations for using artificial intelligence effectivelyScott, Ian A., van der Vegt, Anton, Canaris, Stephen, Nolan, Paul and Pointon, Keren (2025). Preparing healthcare organisations for using artificial intelligence effectively. Australian Health Review, 49 (4) AH25102, 1-7. doi: 10.1071/ah25102 |
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2025 Journal Article Presenting artificial intelligence predictions based on electronic medical records to clinicians in hospitals: a scoping reviewNoselli, Monica, Van Der Vegt, Anton, Cordeil, Maxime, Campbell, Victoria, Wang, Audrey P., Shetty, Amith and Scott, Ian A. (2025). Presenting artificial intelligence predictions based on electronic medical records to clinicians in hospitals: a scoping review. IEEE Journal of Biomedical and Health Informatics, 29 (10), 7619-7632. doi: 10.1109/jbhi.2025.3572494 |
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2025 Journal Article National Heart Foundation of Australia & Cardiac Society of Australia and New Zealand: comprehensive Australian clinical guideline for diagnosing and managing acute coronary syndromes 2025Brieger, 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, Matthews, Stacey and other members of the Heart Foundation Working Group (2025). 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 and Circulation, 34 (4), 309-397. doi: 10.1016/j.hlc.2025.02.102 |
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2025 Journal Article False hope of a single generalisable AI sepsis prediction model: bias and proposed mitigation strategies for improving performance based on a retrospective multisite cohort studySchnetler, Rudolf, van der Vegt, Anton, Kalke, Vikrant R., Lane, Paul and Scott, Ian (2025). False hope of a single generalisable AI sepsis prediction model: bias and proposed mitigation strategies for improving performance based on a retrospective multisite cohort study. BMJ Quality and Safety, 34 (9), 580-589. doi: 10.1136/bmjqs-2024-018328 |
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2025 Journal Article Mandatory research projects during medical specialist training in Australia and New Zealand: a survey of trainees' experiences and reportsStehlik, Paulina, Withers, Caitlyn, Bourke, Rachel C., Barnett, Adrian G., Brandenburg, Caitlin, Noble, Christy, Bannach-Brown, Alexandra, Keijzers, Gerben B., Scott, Ian A., Glasziou, Paul P., Veysey, Emma C., Mickan, Sharon, Morgan, Mark, Joshi, Hitesh, Forrest, Kirsty, Campbell, Thomas G. and Henry, David A. (2025). Mandatory research projects during medical specialist training in Australia and New Zealand: a survey of trainees' experiences and reports. Medical Journal of Australia, 222 (5), 231-239. doi: 10.5694/mja2.52611 |
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2025 Journal Article Factors underpinning the performance of implemented artificial intelligence-based patient deterioration prediction systems: reasons for selection and implications for hospitals and researchersvan der Vegt, Anton H., Campbell, Victoria, Wang, Shuyi, Malycha, James and Scott, Ian A. (2025). Factors underpinning the performance of implemented artificial intelligence-based patient deterioration prediction systems: reasons for selection and implications for hospitals and researchers. Journal of the American Medical Informatics Association, 32 (3), 492-509. doi: 10.1093/jamia/ocae321 |
