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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 & Safety bmjqs-2024-018328, bmjqs-2024. 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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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. 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. 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 |
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2024 Journal Article The Adverse Inpatient Medication Event and Frailty (AIME-Frail) risk prediction modelFalconer, Nazanin, Scott, Ian A., Abdel-Hafez, Ahmad, Cottrell, Neil, Long, Duncan, Morris, Christopher, Snoswell, Centaine, Aziz, Ebtihal, Lam, Jonathan Yong Jie and Barras, Michael (2024). The Adverse Inpatient Medication Event and Frailty (AIME-Frail) risk prediction model. Research in Social and Administrative Pharmacy, 20 (8), 796-803. doi: 10.1016/j.sapharm.2024.05.003 |
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2024 Journal Article Powered by <scp>AI</scp>: advancing towards artificial intelligence algorithms in Australian hospital pharmacyFalconer, Nazanin, Scott, Ian and Barras, Michael (2024). Powered by AI: advancing towards artificial intelligence algorithms in Australian hospital pharmacy. Journal of Pharmacy Practice and Research, 54 (2), 107-109. doi: 10.1002/jppr.1922 |
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2024 Journal Article Monoclonal antibodies for treating early Alzheimer disease—a commentary on recent ‘positive’ trialsScott, Ian A. (2024). Monoclonal antibodies for treating early Alzheimer disease—a commentary on recent ‘positive’ trials. Age and Ageing, 53 (2) afae023. doi: 10.1093/ageing/afae023 |
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2024 Journal Article Risk factors predicting hospital-acquired pressure injury in adult patients: An overview of reviewsWang, Isabel, Walker, Rachel M., Gillespie, Brigid M., Scott, Ian, Sugathapala, Ravilal Devananda Udeshika Priyadarshani and Chaboyer, Wendy (2024). Risk factors predicting hospital-acquired pressure injury in adult patients: An overview of reviews. International Journal of Nursing Studies, 150 104642, 1-11. doi: 10.1016/j.ijnurstu.2023.104642 |
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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 uncertainvan 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 |
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2024 Journal Article Deprescribing: a 20‐year retrospectiveScott, Ian A. (2024). Deprescribing: a 20‐year retrospective. Journal of Pharmacy Practice and Research, 53 (6), 320-321. doi: 10.1002/jppr.1906 |
