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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 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. doi: 10.1111/imj.70112 |
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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. doi: 10.1111/imj.70094 |
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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 bmjqs-2024-018328, 1-10. 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 |
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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, PP (99), 1-16. doi: 10.1109/jbhi.2025.3572494 |
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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. doi: 10.1111/imj.70143 |
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2024 Conference Publication Co-designing an intervention to optimise medicine information handover after discharge from hospitalFoot, Holly, Oldfield, Leslie, Yong, Faith, Manias, Elizabeth, Sim, Tin Fei, Baysari, Melissa, Scott, Ian, Keijzers, Gerben, Jackson, Claire, Morgan, Mark, Mullen, Barbara, Norman, Richard and Hattingh, Laetitia (2024). Co-designing an intervention to optimise medicine information handover after discharge from hospital. ASCEPT, APFP & APSA 2024 Joint Conference, Melbourne, VIC, Australia, 1-4 December 2024. |
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2024 Journal Article Correction: OPTimising MEDicine information handover after Discharge (OPTMED-D): protocol for development of a multifaceted intervention and stepped wedge cluster randomised controlled trialHattingh, Laetitia, Baysari, Melissa T., Foot, Holly, Sim, Tin Fei, Keijzers, Gerben, Morgan, Mark, Scott, Ian, Norman, Richard, Yong, Faith, Mullan, Barbara, Jackson, Claire, Oldfeld, Leslie E. and Manias, Elizabeth (2024). Correction: OPTimising MEDicine information handover after Discharge (OPTMED-D): protocol for development of a multifaceted intervention and stepped wedge cluster randomised controlled trial. Trials, 25 (1) 745, 745. doi: 10.1186/s13063-024-08528-5 |
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2024 Journal Article Association of advance care planning with hospital use and costs at the end of life: a population-based retrospective cohort studyScott, Ian, Reymond, Liz, Sansome, Xanthe and Carter, Hannah (2024). Association of advance care planning with hospital use and costs at the end of life: a population-based retrospective cohort study. BMJ Open, 14 (11) e082766, 1-12. doi: 10.1136/bmjopen-2023-082766 |
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2024 Journal Article OPTimising MEDicine information handover after Discharge (OPTMED-D): protocol for development of a multifaceted intervention and stepped wedge cluster randomised controlled trialHattingh, Laetitia, Baysari, Melissa T., Foot, Holly, Sim, Tin Fei, Keijzers, Gerben, Morgan, Mark, Scott, Ian, Norman, Richard, Yong, Faith, Mullan, Barbara, Jackson, Claire, Oldfield, Leslie E. and Manias, Elizabeth (2024). OPTimising MEDicine information handover after Discharge (OPTMED-D): protocol for development of a multifaceted intervention and stepped wedge cluster randomised controlled trial. Trials, 25 (1) 632, 1-12. doi: 10.1186/s13063-024-08496-w |
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2024 Journal Article “Luck of the draw really”: a qualitative exploration of Australian trainee doctors’ experiences of mandatory researchBrandenburg, Caitlin, Hilder, Joanne, Noble, Christy, Liang, Rhea, Forrest, Kirsty, Joshi, Hitesh, Keijzers, Gerben, Mickan, Sharon, Pearson, David, Scott, Ian A., Veysey, Emma and Stehlik, Paulina (2024). “Luck of the draw really”: a qualitative exploration of Australian trainee doctors’ experiences of mandatory research. BMC Medical Education, 24 (1) 1021, 1-11. doi: 10.1186/s12909-024-05954-6 |
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2024 Journal Article Clinician perspectives and recommendations regarding design of clinical prediction models for deteriorating patients in acute careBlythe, Robin, Naicker, Sundresan, White, Nicole, Donovan, Raelene, Scott, Ian A., McKelliget, Andrew and McPhail, Steven M. (2024). Clinician perspectives and recommendations regarding design of clinical prediction models for deteriorating patients in acute care. BMC Medical Informatics and Decision Making, 24 (1) 241, 241. doi: 10.1186/s12911-024-02647-4 |
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2024 Journal Article Using conversant artificial intelligence to improve diagnostic reasoning: ready for prime time?Scott, Ian A., Miller, Tim and Crock, Carmel (2024). Using conversant artificial intelligence to improve diagnostic reasoning: ready for prime time?. Medical Journal of Australia, 221 (5), 240-243. doi: 10.5694/mja2.52401 |
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2024 Journal Article Evaluating automated machine learning platforms for use in healthcareScott, Ian A., De Guzman, Keshia R., Falconer, Nazanin, Canaris, Stephen, Bonilla, Oscar, McPhail, Steven M., Marxen, Sven, Van Garderen, Aaron, Abdel-Hafez, Ahmad and Barras, Michael (2024). Evaluating automated machine learning platforms for use in healthcare. JAMIA Open, 7 (2) ooae031, ooae031. doi: 10.1093/jamiaopen/ooae031 |
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2024 Journal Article The new paradigm in machine learning – foundation models, large language models and beyond: a primer for physiciansScott, Ian A. and Zuccon, Guido (2024). The new paradigm in machine learning – foundation models, large language models and beyond: a primer for physicians. Internal Medicine Journal, 54 (5), 705-715. doi: 10.1111/imj.16393 |
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2024 Journal Article Achieving large-scale clinician adoption of AI-enabled decision supportScott, 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) e100971, e100971. doi: 10.1136/bmjhci-2023-100971 |
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2024 Journal Article How should artificial intelligence be used in Australian health care? Recommendations from a citizens’ juryCarter, Stacy M., Aquino, Yves Saint James, Carolan, Lucy, Frost, Emma, Degeling, Chris, Rogers, Wendy A., Scott, Ian A., Bell, Katy J. L., Fabrianesi, Belinda and Magrabi, Farah (2024). How should artificial intelligence be used in Australian health care? Recommendations from a citizens’ jury. Medical Journal of Australia, 220 (8), 409-416. doi: 10.5694/mja2.52283 |
