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2025 Conference Publication Predicting patient acuity in tele-triage using large language models: a computational design science approachXie, Hetiao (Slim), Namvar, Morteza, Akhlaghpour, Saeed and Staib, Andrew (2025). Predicting patient acuity in tele-triage using large language models: a computational design science approach. Pacific Asia Conference on Information Systems (PACIS), Kuala Lumpur, Malaysia, 5-9 July 2025. Atlanta, GA USA: Association for Information Systems. |
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2025 Journal Article “A banana in the tailpipe”: a qualitative study of patient flow in the healthcare systemSamadbeik, Mahnaz, Staib, Andrew, Boyle, Justin, Bosley, Emma, Khanna, Sankalp, McCourt, Elizabeth, Bodnar, Daniel, Lind, James, Austin, Jodie A. and Sullivan, Clair (2025). “A banana in the tailpipe”: a qualitative study of patient flow in the healthcare system. BMC Health Services Research, 25 (1) 745, 745. doi: 10.1186/s12913-025-12873-9 |
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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, Stephensen, Laura, Blankenberg, Stefan, on behalf of the Artificial Intelligence in Suspected Myocardial Infarction Study (ARTEMIS) group, Brownlee, Emily, McCormick, Ellyse, Fincher, Gavin, Hall, Emma J., Hancock, Rebecca, Gaikwad, Niranjan, Gangathimmaiah, Vinay, Hamilton-Craig, Christian, Keijzers, Gerben, Hobbins-King, Andrew, 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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2024 Conference Publication Association between Impact of unstable housing and diabetes-related emergency presentations in a large metropolitan hospitalJansen, Pieter Martijn, Moss, Jordan, Vincent, Vinu, Rayner, Kim, Staib, Andrew, Eley, Rob and Hayes, Lisa (2024). Association between Impact of unstable housing and diabetes-related emergency presentations in a large metropolitan hospital. Australasian Diabetes Congress, Perth, WA, Australia, 21-23 August 2024. |
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2023 Conference Publication The introduction of QScript real time prescription monitoring was associated with a fall in poisoning presentations to a clinical toxicology unitHolford, Amanda, Martin, Christopher, Staib, Andrew, Harris, Keith and Isoardi, Katherine (2023). The introduction of QScript real time prescription monitoring was associated with a fall in poisoning presentations to a clinical toxicology unit. Toxicology and Poisons Network Australasia (TAPNA)2023 Annual Scientific Meeting, Perth, WA Australia, 26–28 April 2023. Philadelphia, PA United States: Taylor & Francis. |
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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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2023 Conference Publication Revealing the root causes of digital health data quality issues: a qualitative investigation of the Odigos frameworkEden, Rebekah, Rehan, Syed, Makasi, Tendai, Andrews, Robert, ter Hofstede, Arthur, Wynn, Moe Thandar, Donovan, Raelene, Eley, Robert and Staib, Andrew (2023). Revealing the root causes of digital health data quality issues: a qualitative investigation of the Odigos framework. 56th Hawaii International Conference on System Sciences, Maui, HI, United States, 3-6 January 2023. Washington, DC, United States: IEEE Computer Society. doi: 10.24251/hicss.2023.372 |
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2023 Conference Publication Stochastic-aware comparative process mining in healthcareMazhar, Tabib Ibne, Tariq, Asad, Leemans, Sander J. J., Goel, Kanika, Wynn, Moe T. and Staib, Andrew (2023). Stochastic-aware comparative process mining in healthcare. 21st International Conference, BPM 2023, Utrecht, Netherlands, 11–15 September 2023. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-41620-0_20 |
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2023 Conference Publication Digital health data imperfection patterns and their manifestations in an Australian digital hospitalGoel, Kanika, Sadeghianasl, Sareh, Andrews, Robert, ter Hofstede, Arthur H.M., Wynn, Moe T., Geeganage, Dakshi Kapugama, Leemans, Sander J.J., McGree, James, Eden, Rebekah, Staib, Andrew, Eley, Rob and Donovan, Raelene (2023). Digital health data imperfection patterns and their manifestations in an Australian digital hospital. 56th Hawaii International Conference on System Sciences, Maui, HI, United States, 3-6 January 2023. Washington, DC, United States: IEEE Computer Society. doi: 10.24251/hicss.2023.398 |
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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 |
