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2024 Journal Article Diagnostic accuracy of a machine learning algorithm using point-of-care high-sensitivity cardiac troponin I for rapid rule-out of myocardial infarction: a retrospective studyToprak, Betül, Solleder, Hugo, Di Carluccio, Eleonora, Greenslade, Jaimi H, Parsonage, William A, Schulz, Karen, Cullen, Louise, Apple, Fred S, Ziegler, Andreas, Blankenberg, Stefan, Stephensen, Laura, Brownlee, Emily, McCormick, Ellyse, Fincher, Gavin, Hall, Emma J., Hancock, Rebecca, Gaikwad, Niranjan, Gangathimmaiah, Vinay, Hamilton-Craig, Christian, Hobbins-King, Andrew, Keijzers, Gerben, Bayat, Maryam Khorramshahi, Mahmoodi, Ehsan, Perez, Siegfried, Ranasinghe, Isuru, Staib, Andrew, Zournazi, Anna and Than, Martin (2024). Diagnostic accuracy of a machine learning algorithm using point-of-care high-sensitivity cardiac troponin I for rapid rule-out of myocardial infarction: a retrospective study. The Lancet Digital Health, 6 (10), e729-e738. doi: 10.1016/s2589-7500(24)00191-2 |
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2024 Journal Article Virtual Toxicology Service decreases the average length of stay of poisoned patients and saves bed daysMcNeill, Iain, Staib, Andrew and Isoardi, Katherine Z (2024). Virtual Toxicology Service decreases the average length of stay of poisoned patients and saves bed days. Emergency Medicine Australasia, 36 (5), 789-791. doi: 10.1111/1742-6723.14453 |
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2024 Journal Article Modelling a two‐stream emergency department segregation and admission system from COVID‐19 early rapid antigen testing: a pilot studyJohnston, Amy, Wong, Andy, Appo, Casey, Eley, Robert and Staib, Andrew (2024). Modelling a two‐stream emergency department segregation and admission system from COVID‐19 early rapid antigen testing: a pilot study. Emergency Medicine Australasia, 36 (2), 283-287. doi: 10.1111/1742-6723.14351 |
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2024 Journal Article Patient flow in emergency departments: a comprehensive umbrella review of solutions and challenges across the health systemSamadbeik, Mahnaz, Staib, Andrew, Boyle, Justin, Khanna, Sankalp, Bosley, Emma, Bodnar, Daniel, Lind, James, Austin, Jodie A., Tanner, Sarah, Meshkat, Yasaman, de Courten, Barbora and Sullivan, Clair (2024). Patient flow in emergency departments: a comprehensive umbrella review of solutions and challenges across the health system. BMC Health Services Research, 24 (1) 274, 1-36. doi: 10.1186/s12913-024-10725-6 |
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2023 Journal Article Virtual emergency department: It is not all in the nameStaib, Andrew and Gourley, Stephen (2023). Virtual emergency department: It is not all in the name. Emergency Medicine Australasia, 35 (6), 894-895. doi: 10.1111/1742-6723.14324 |
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2023 Journal Article Introduction of QScript real‐time prescription monitoring system was associated with a fall in pregabalin poisoning presentations to a clinical toxicology unitHolford, Amanda, Martin, Christopher, Staib, Andrew, Harris, Keith and Isoardi, Katherine Z. (2023). Introduction of QScript real‐time prescription monitoring system was associated with a fall in pregabalin poisoning presentations to a clinical toxicology unit. Emergency Medicine Australasia, 35 (5), 879-881. doi: 10.1111/1742-6723.14297 |
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2023 Journal Article Forecasting emergency department waiting time using a state space representationTrinh, Kelly, Staib, Andrew and Pak, Anton (2023). Forecasting emergency department waiting time using a state space representation. Statistics in Medicine, 42 (24), 1-26. doi: 10.1002/sim.9870 |
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2023 Journal Article Personalized diagnosis in suspected myocardial infarctionNeumann, Johannes Tobias, Twerenbold, Raphael, Ojeda, Francisco, Aldous, Sally J., Allen, Brandon R., Apple, Fred S., Babel, Hugo, Christenson, Robert H., Cullen, Louise, Di Carluccio, Eleonora, Doudesis, Dimitrios, Ekelund, Ulf, Giannitsis, Evangelos, Greenslade, Jaimi, Inoue, Kenji, Jernberg, Tomas, Kavsak, Peter, Keller, Till, Lee, Kuan Ken, Lindahl, Bertil, Lorenz, Thiess, Mahler, Simon A., Mills, Nicholas L., Mokhtari, Arash, Parsonage, William, Pickering, John W., Pemberton, Christopher J., Reich, Christoph, Richards, A. Mark ... Zournazi, Anna (2023). Personalized diagnosis in suspected myocardial infarction. Clinical Research in Cardiology, 112 (9), 1288-1301. doi: 10.1007/s00392-023-02206-3 |
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2022 Journal Article The digital transformation journey of a large Australian hospital: a teaching caseEden, Rebekah, Burton-Jones, Andrew, Donovan, Raelene, Staib, Andrew, Ballantine, Cameron, McKavanagh, Daniel and Sullivan, Clair (2022). The digital transformation journey of a large Australian hospital: a teaching case. Communications of the Association for Information Systems, 51 (1) 25, 842-865. doi: 10.17705/1CAIS.05134 |
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2022 Journal Article Defining emergency medicineCrofton, Andrew K. and Staib, Andrew N. (2022). Defining emergency medicine. EMA - Emergency Medicine Australasia, 34 (4), 642-643. doi: 10.1111/1742-6723.14001 |
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2021 Journal Article Effect of computed tomography scanner location on time‐to‐computed tomography in the emergency department: a before and after studyCabilan, C.J., Eley, Robert, Staib, Andrew, Rowney, Ben and Kay, Phillip (2021). Effect of computed tomography scanner location on time‐to‐computed tomography in the emergency department: a before and after study. Emergency Medicine Australasia, 34 (3), 370-375. doi: 10.1111/1742-6723.13899 |
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2021 Journal Article Review of tools for the prediction of patient deterioration in the digital hospital settingMann, Kay Debby, Good, Norm, Fatehi, Farhad, Khanna, Sankalp, Campbell, Victoria, Conway, Roger, Sullivan, Clair, Staib, Andrew, Joyce, Chris and Cook, David (2021). Review of tools for the prediction of patient deterioration in the digital hospital setting. Journal of Medical Internet Research, 23 (9) e28209, e28209. doi: 10.2196/28209 |
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2021 Journal Article Predicting waiting time to treatment for emergency department patientsPak, Anton, Gannon, Brenda and Staib, Andrew (2021). Predicting waiting time to treatment for emergency department patients. International Journal of Medical Informatics, 145 104303, 1-8. doi: 10.1016/j.ijmedinf.2020.104303 |
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2020 Journal Article Surveying perceptions of the early impacts of an integrated electronic medical record across a hospital and healthcare serviceEden, Rebekah, Burton-Jones, Andrew, Staib, Andrew and Sullivan, Clair (2020). Surveying perceptions of the early impacts of an integrated electronic medical record across a hospital and healthcare service. Australian Health Review, 44 (5), 690-698. doi: 10.1071/AH19157 |
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2020 Journal Article Emergency medicine's COVID future: facing the triple challenge after flattening the curveStaib, Andrew and Small, Niall (2020). Emergency medicine's COVID future: facing the triple challenge after flattening the curve. Emergency Medicine Australasia, 32 (5) 1742-6723.13566, 880-882. doi: 10.1111/1742-6723.13566 |
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2020 Journal Article Can a system dynamics model of the emergency department show which levers reduce bottlenecks and delays to improve access to care?McAvoy, Sue, Staib, Andrew and Treston, Gregory (2020). Can a system dynamics model of the emergency department show which levers reduce bottlenecks and delays to improve access to care?. Systems Research ad Behavioural Science, 38 (1), 61-79. doi: 10.1002/sres.2663 |
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2020 Journal Article Changing the conversation on evaluating digital transformation in healthcare: insights from an institutional analysisBurton-Jones, Andrew, Akhlaghpour, Saeed, Ayre, Stephen, Barde, Payal, Staib, Andrew and Sullivan, Clair (2020). Changing the conversation on evaluating digital transformation in healthcare: insights from an institutional analysis. Information and Organization, 30 (1) 100255, 100255. doi: 10.1016/j.infoandorg.2019.100255 |
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2020 Journal Article The SNOMED dilemma: how to use it, not whether to use itStaib, Andrew and Hugman, Andrew (2020). The SNOMED dilemma: how to use it, not whether to use it. Emergency Medicine Australasia, 32 (2) 1742-6723.13465, 361-362. doi: 10.1111/1742-6723.13465 |
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2020 Journal Article Digitising an Australian university hospital: qualitative analysis of staff-reported impactsEden, Rebekah, Burton-Jones, Andrew, Grant, James, Collins, Renea, Staib, Andrew and Sullivan, Clair (2020). Digitising an Australian university hospital: qualitative analysis of staff-reported impacts. Australian Health Review, 44 (5), 677-689. doi: 10.1071/AH18218 |
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2019 Journal Article Queensland Digital Health Clinical Charter: A clinical consensus statement on priorities for digital health in hospitalsSullivan, Clair, Staib, Andrew, McNeil, Keith, Rosengren, David and Johnson, Ian (2019). Queensland Digital Health Clinical Charter: A clinical consensus statement on priorities for digital health in hospitals. Australian Health Review, 44 (5), 661-665. doi: 10.1071/AH19067 |
