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Associate Professor Andrew Staib
Associate Professor

Andrew Staib

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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

66 works between 2001 and 2026

21 - 40 of 66 works

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

Forecasting emergency department waiting time using a state space representation

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

Personalized diagnosis in suspected myocardial infarction

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

Revealing the root causes of digital health data quality issues: a qualitative investigation of the Odigos framework

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

Stochastic-aware comparative process mining in healthcare

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

Digital health data imperfection patterns and their manifestations in an Australian digital hospital

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

The digital transformation journey of a large Australian hospital: a teaching case

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

Defining emergency medicine

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

Effect of computed tomography scanner location on time‐to‐computed tomography in the emergency department: a before and after study

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

Review of tools for the prediction of patient deterioration in the digital hospital setting

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

Predicting waiting time to treatment for emergency department patients

2020

Conference Publication

The transformation of Australia’s first large digital hospital: a teaching case

Eden, Rebekah, Burton-Jones, Andrew, Ballantine, Cameron, Staib, Andrew and Sullivan, Clair (2020). The transformation of Australia’s first large digital hospital: a teaching case. International Conference on Information Systems, Online, 13-16 December 2020. New York, NY United States: Association for Information Systems.

The transformation of Australia’s first large digital hospital: a teaching case

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

Surveying perceptions of the early impacts of an integrated electronic medical record across a hospital and healthcare service

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

Emergency medicine's COVID future: facing the triple challenge after flattening the curve

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

Can a system dynamics model of the emergency department show which levers reduce bottlenecks and delays to improve access to care?

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

Changing the conversation on evaluating digital transformation in healthcare: insights from an institutional analysis

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

The SNOMED dilemma: how to use it, not whether to use it

2020

Journal Article

Digitising an Australian university hospital: qualitative analysis of staff-reported impacts

Eden, 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

Digitising an Australian university hospital: qualitative analysis of staff-reported impacts

2019

Journal Article

Queensland Digital Health Clinical Charter: A clinical consensus statement on priorities for digital health in hospitals

Sullivan, 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

Queensland Digital Health Clinical Charter: A clinical consensus statement on priorities for digital health in hospitals

2019

Journal Article

Digital transformation of the emergency department-inpatient interface (EDii): integration for future innovation

Staib, Andrew, Sullivan, Clair, Cabilan, Cara Joyce, Cattell, Rohan and Eley, Rob (2019). Digital transformation of the emergency department-inpatient interface (EDii): integration for future innovation. Australian Health Review, 44 (5), 666-671. doi: 10.1071/AH18176

Digital transformation of the emergency department-inpatient interface (EDii): integration for future innovation

2019

Journal Article

Models of evaluation under ceteris imparibus: System dynamics and the example of emergency care

McAvoy, Susan, Staib, Andrew and Birch, Stephen (2019). Models of evaluation under ceteris imparibus: System dynamics and the example of emergency care. Systems Research and Behavioral Science, 37 (2), 211-222. doi: 10.1002/sres.2615

Models of evaluation under ceteris imparibus: System dynamics and the example of emergency care

Funding

Current funding

  • 2025 - 2027
    Automated Clinical Data Extraction to Enhance Toxicology Services and Improve Emergency Medicine Outcomes Project STREAM (System for Toxicology Research and Emergency Medicine)
    Emergency Medicine Foundation Ltd
    Open grant

Past funding

  • 2023 - 2024
    Predicting in-flight hypotension in aeromedical trauma patients
    Emergency Medicine Foundation Ltd
    Open grant
  • 2019 - 2024
    Unlocking Benefits from Digital Investments through Meaningful Use
    ARC Linkage Projects
    Open grant

Supervision

Availability

Associate Professor Andrew Staib is:
Available for supervision

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Supervision history

Current supervision

Completed supervision

Media

Enquiries

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