Overview
Background
Assoc Prof Andrew Staib is an internationally recognised academic leader in emergency medicine. He has led multiple large scale research and transformational projects including the analysis of over 16M episodes of emergency care, the digital transformation of emergency workflows in Queensland hospitals and the development of tools to predict emergency wait times. His work has been published in international journals and he is regularly asked to present at national and global meetings. He has established large and enduring systems to improve emergency care such as dashboards display metrics for monitoring emergency care, systems for virtual emergency care across Queensland, clincial immersion programs for UQ medical students and the application of emerging technologies such as artificial intelligence to emergency care. Assoc Prof Staib is the recipient of several national awards including the national iaward for innovation for his work in emergency care data. Assoc Prof Staib is skilled at creating and maintaining high performing teams as is evidenced by his roles as Senior Director of Emergency Care for Metro South Health and Chair of the Queensland Emergency Department Advisory Panel.
Availability
- Associate Professor Andrew Staib is:
- Available for supervision
Qualifications
- Bachelor of Medicine Surgery, The University of Queensland
- Doctor of Philosophy of Emergency Medicine, The University of Queensland
- Fellow, Australasian College for Emergency Medicine, Australasian College for Emergency Medicine
- Fellow, Australasian Institute of Digital Health, Australasian Institute of Digital Health
Works
Search Professor Andrew Staib’s works on UQ eSpace
2024
Journal Article
Virtual Toxicology Service decreases the average length of stay of poisoned patients and saves bed days
McNeill, 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. doi: 10.1111/1742-6723.14453
2024
Journal Article
Modelling a two‐stream emergency department segregation and admission system from COVID‐19 early rapid antigen testing: a pilot study
Johnston, 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
2024
Journal Article
Patient flow in emergency departments: a comprehensive umbrella review of solutions and challenges across the health system
Samadbeik, 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
2023
Journal Article
Virtual emergency department: It is not all in the name
Staib, 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
2023
Journal Article
Introduction of QScript real‐time prescription monitoring system was associated with a fall in pregabalin poisoning presentations to a clinical toxicology unit
Holford, 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
2023
Journal Article
Forecasting emergency department waiting time using a state space representation
Trinh, 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
2023
Journal Article
Personalized diagnosis in suspected myocardial infarction
Neumann, 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
2023
Conference Publication
Stochastic-aware comparative process mining in healthcare
Mazhar, 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
2023
Conference Publication
Digital health data imperfection patterns and their manifestations in an Australian digital hospital
Goel, 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
2023
Conference Publication
Revealing the root causes of digital health data quality issues: a qualitative investigation of the Odigos framework
Eden, 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
2022
Journal Article
The digital transformation journey of a large Australian hospital: a teaching case
Eden, 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
2022
Journal Article
Defining emergency medicine
Crofton, Andrew K. and Staib, Andrew N. (2022). Defining emergency medicine. EMA - Emergency Medicine Australasia, 34 (4), 642-643. doi: 10.1111/1742-6723.14001
2021
Journal Article
Effect of computed tomography scanner location on time‐to‐computed tomography in the emergency department: a before and after study
Cabilan, 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
2021
Journal Article
Review of tools for the prediction of patient deterioration in the digital hospital setting
Mann, 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
2021
Journal Article
Predicting waiting time to treatment for emergency department patients
Pak, 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
2020
Journal Article
Surveying perceptions of the early impacts of an integrated electronic medical record across a hospital and healthcare service
Eden, 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
2020
Journal Article
Emergency medicine's COVID future: facing the triple challenge after flattening the curve
Staib, 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
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
2020
Journal Article
Changing the conversation on evaluating digital transformation in healthcare: insights from an institutional analysis
Burton-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
2020
Journal Article
The SNOMED dilemma: how to use it, not whether to use it
Staib, 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
Supervision
Availability
- Associate Professor Andrew Staib is:
- Available for supervision
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Supervision history
Current supervision
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Doctor Philosophy
Digitally Enhanced Evaluation of Prescription Drug Misuse
Principal Advisor
Other advisors: Professor Andrew Burton-Jones
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Doctor Philosophy
Virtual Toxicology Service: From phone advice to remote specialist care delivery. Developing a new model of care for specialty management.
Principal Advisor
Other advisors: Dr Rob Eley, Dr Lee Woods
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-
Doctor Philosophy
AI to reduce hospital emergency department overcrowding.
Associate Advisor
Other advisors: Dr Anton Pak, Dr Sisira Edirippulige
-
Doctor Philosophy
Predicting in-flight deterioration and need for critical care interventions in Australian aeromedical trauma patients.
Associate Advisor
Other advisors: Professor Mark Midwinter
Media
Enquiries
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