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2024

Journal Article

The Adverse Inpatient Medication Event and Frailty (AIME-Frail) risk prediction model

Falconer, 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

The Adverse Inpatient Medication Event and Frailty (AIME-Frail) risk prediction model

2024

Journal Article

Powered by <scp>AI</scp>: advancing towards artificial intelligence algorithms in Australian hospital pharmacy

Falconer, 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

Powered by <scp>AI</scp>: advancing towards artificial intelligence algorithms in Australian hospital pharmacy

2024

Journal Article

Monoclonal antibodies for treating early Alzheimer disease—a commentary on recent ‘positive’ trials

Scott, 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

Monoclonal antibodies for treating early Alzheimer disease—a commentary on recent ‘positive’ trials

2024

Journal Article

Risk factors predicting hospital-acquired pressure injury in adult patients: An overview of reviews

Wang, 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

Risk factors predicting hospital-acquired pressure injury in adult patients: An overview of reviews

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

Deprescribing: a 20‐year retrospective

Scott, Ian A. (2024). Deprescribing: a 20‐year retrospective. Journal of Pharmacy Practice and Research, 53 (6), 320-321. doi: 10.1002/jppr.1906

Deprescribing: a 20‐year retrospective

2024

Book Chapter

Embedding evidence-base practice into routine care

Scott, Ian, Del Mar, Chris, Hoffmann, Tammy and Bennett, Sally (2024). Embedding evidence-base practice into routine care. Evidence-based practice across the health professions. (pp. 343-356) edited by Tammy Hoffmann, Sally Bennett and Christopher Del Mar. Chatswood, NSW, Australia: Elsevier.

Embedding evidence-base practice into routine care

2024

Journal Article

Reducing potentially inappropriate polypharmacy at a national and international level: the impact of deprescribing networks

McDonald, Emily G., Lundby, Carina, Thompson, Wade, Boyd, Cynthia, Farrell, Barbara, Gagnon, Camille, Herbin, Jennie, Khuong, Ninh, Moriarty, Frank, Pierson, Tiphaine, Scott, Sion, Scott, Ian A., Silvius, Jim, Spinewine, Anne, Steinman, Michael A., Tannenbaum, Cara, Trimble, Johanna, Turner, Justin P. and Reeve, Emily (2024). Reducing potentially inappropriate polypharmacy at a national and international level: the impact of deprescribing networks. Expert Review of Clinical Pharmacology, 17 (5-6), 433-440. doi: 10.1080/17512433.2024.2355270

Reducing potentially inappropriate polypharmacy at a national and international level: the impact of deprescribing networks

2023

Journal Article

Too much versus too little: looking for the “sweet spot” in optimal use of diagnostic investigations

Scott, Ian A., Crock, Carmel and Twining, Matthew (2023). Too much versus too little: looking for the “sweet spot” in optimal use of diagnostic investigations. Medical Journal of Australia, 220 (2), 67-70. doi: 10.5694/mja2.52193

Too much versus too little: looking for the “sweet spot” in optimal use of diagnostic investigations

2023

Journal Article

First do no harm in responding to incidental imaging findings

Scott, Ian A., Slavotinek, John and Glasziou, Paul P. (2023). First do no harm in responding to incidental imaging findings. Medical Journal of Australia, 220 (1), 7-9. doi: 10.5694/mja2.52177

First do no harm in responding to incidental imaging findings

2023

Conference Publication

Development and validation of a machine learning algorithm to optimise the dosing of unfractionated heparin

Barras, Michael, Falconer, Nazanin, Abdel-Hafez, Ahmad, Scott, Ian, Marxen, Sven, Van Garderen, Aaron, Bonilla, Oscar and Canaris, Stephen (2023). Development and validation of a machine learning algorithm to optimise the dosing of unfractionated heparin. 81st FIP World Congress of Pharmacy and Pharmaceutical Sciences, Brisbane, QLD Australia, 24 - 28 September 2023. The Hague, Netherlands: International Pharmaceutical Federation. doi: 10.46542/pe.2023.236.329349

Development and validation of a machine learning algorithm to optimise the dosing of unfractionated heparin

2023

Journal Article

RELEASE (REdressing Long-tErm Antidepressant uSE): protocol for a 3-arm pragmatic cluster randomised controlled trial effectiveness-implementation hybrid type-1 in general practice

Wallis, Katharine A., Donald, Maria, Horowitz, Mark, Moncrieff, Joanna, Ware, Robert S., Byrnes, Joshua, Thrift, Karen, Cleetus, MaryAnne, Panahi, Idin, Zwar, Nicholas, Morgan, Mark, Freeman, Chris and Scott, Ian (2023). RELEASE (REdressing Long-tErm Antidepressant uSE): protocol for a 3-arm pragmatic cluster randomised controlled trial effectiveness-implementation hybrid type-1 in general practice. Trials, 24 (1) 615, 1-14. doi: 10.1186/s13063-023-07646-w

RELEASE (REdressing Long-tErm Antidepressant uSE): protocol for a 3-arm pragmatic cluster randomised controlled trial effectiveness-implementation hybrid type-1 in general practice

2023

Journal Article

Navigating the machine learning pipeline: a scoping review of inpatient delirium prediction models

Strating, Tom, Shafiee Hanjani, Leila, Tornvall, Ida, Hubbard, Ruth and Scott, Ian A. (2023). Navigating the machine learning pipeline: a scoping review of inpatient delirium prediction models. BMJ Health & Care Informatics, 30 (1) e100767, e100767. doi: 10.1136/bmjhci-2023-100767

Navigating the machine learning pipeline: a scoping review of inpatient delirium prediction models

2023

Journal Article

Digital health competencies for the next generation of physicians

Scott, Ian A., Shaw, Tim, Slade, Christine, Wan, Tai T., Coorey, Craig, Johnson, Sandra L. J. and Sullivan, Clair M. (2023). Digital health competencies for the next generation of physicians. Internal Medicine Journal, 53 (6), 1042-1049. doi: 10.1111/imj.16122

Digital health competencies for the next generation of physicians

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

2023

Journal Article

Coping with uncertainty in clinical practice: a narrative review

Scott, Ian A., Doust, Jenny A., Keijzers, Gerben B. and Wallis, Katharine A. (2023). Coping with uncertainty in clinical practice: a narrative review. Medical Journal of Australia, 218 (9), 418-425. doi: 10.5694/mja2.51925

Coping with uncertainty in clinical practice: a narrative review

2023

Journal Article

Appropriate use of transthoracic echocardiography in the investigation of general medicine patients presenting with syncope or presyncope

Simos, Peter and Scott, Ian (2023). Appropriate use of transthoracic echocardiography in the investigation of general medicine patients presenting with syncope or presyncope. Postgraduate Medical Journal, 99 (1170) postgradmedj-2021-141416, 279-285. doi: 10.1136/postgradmedj-2021-141416

Appropriate use of transthoracic echocardiography in the investigation of general medicine patients presenting with syncope or presyncope

2023

Journal Article

An organisational approach to improving diagnostic safety

Scott, Ian A. and Crock, Carmel (2023). An organisational approach to improving diagnostic safety. Australian Health Review, 47 (3), 261-267. doi: 10.1071/ah22287

An organisational approach to improving diagnostic safety

2023

Journal Article

Recognition and management of hospital-acquired sepsis among older general medical inpatients: a multi-site retrospective study

Barker, Nicholas, Scott, Ian A., Seaton, Robert, Mehta, Naitik, Kalke, Vikrant R. and Redpath, Lyndell (2023). Recognition and management of hospital-acquired sepsis among older general medical inpatients: a multi-site retrospective study. International Journal of General Medicine, Volume 16, 1039-1046. doi: 10.2147/ijgm.s400839

Recognition and management of hospital-acquired sepsis among older general medical inpatients: a multi-site retrospective study