Overview
Background
Dr Lucy Shinners is an Indigenous clinician‑researcher with 25 years of ICU nursing experience and a career deeply embedded in the health system. Her work is grounded in the realities of clinical practice and the experiences of patients, families and communities, shaping a research program that examines how emerging technologies can strengthen safe, high‑quality and culturally responsive care.
Using a sociotechnical lens, Dr Shners studies how artificial intelligence influences the health workforce, clinical decision‑making and the conditions required for safe adoption. Her internationally used SHAIP tool supports health services to understand workforce perceptions of AI and ensures that consumer perspectives remain central to technology design and implementation. She also works with Indigenous health organisations to co‑design technological solutions that reflect community priorities, and has contributed to establishing First Nations leaders’ priorities for AI, an expanding line of work shaping future governance and innovation.
Her research intersects with infection prevention and vascular access safety, where she investigates healthcare‑associated infections, device‑related harm and opportunities to improve surveillance, early detection and patient experience. Increasingly, these domains converge as she explores AI‑enabled approaches for infection risk prediction and monitoring, and evaluates how emerging technologies can enhance clinical governance and system performance.
Dr Shinners’ work provides health services, policymakers and industry with evidence‑based, culturally informed insights into AI, infection prevention and the future of safe care.
Availability
- Dr Lucy Shinners is:
- Available for supervision
Fields of research
Qualifications
- Bachelor of Nursing, Australian Catholic University
- Masters (Coursework) of Critical Care Nursing, Griffith University
- Doctor of Philosophy of Health, Southern Cross University
Research interests
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Indigenous‑Led and Culturally Safe Digital Health Innovation
This research focuses on how emerging technologies can be designed, governed and implemented in ways that reflect Indigenous priorities. Dr Shinners collaborates with community organisations to identify First Nations leaders’, healthcare professional and consumer priorities for AI and to co‑design digital health solutions that strengthen equity, trust and cultural safety in healthcare.
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Infection Prevention and Vascular Access Safety
Dr Shinners investigates healthcare‑associated infections, device‑related harm and opportunities to improve surveillance, early detection and patient experience. Her work aims to strengthen clinical governance, reduce preventable infections and build evidence that improves vascular access care across diverse health settings.
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Sociotechnical Evaluation of Artificial Intelligence in Healthcare
Dr Shinners examines how AI influences the health workforce, clinical decision‑making and patient experience, using a sociotechnical lens that centres consumer and community perspectives. Her work includes developing the SHAIP tool, assessing workforce readiness, and co‑designing AI solutions with Indigenous organisations to support safe, culturally informed technology adoption.
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AI‑Enabled Risk Prediction and Surveillance
Integrating her expertise in AI and infection prevention, Dr Shinners explores novel technologies for infection risk prediction, monitoring and system‑level improvement. This work examines how emerging tools can enhance safety, support clinical decision‑making and reduce healthcare‑associated infections through more responsive, data‑driven approaches.
Research impacts
Dr Lucy Shinners’ research is shaping how health services, policymakers and Indigenous organisations understand and adopt artificial intelligence and emerging technologies in safe, culturally responsive ways. As an emerging early‑career researcher with 19 peer‑reviewed publications, her work is already influencing national and international thinking on AI in healthcare, infection prevention and health workforce capability.
Her publications have attracted 399 citations, an h‑index of 10, and strong field‑weighted citation impact (FWCI), with 20% of outputs published in top‑decile journals. Several studies, such as those examining AI adoption in allied health, rural health districts and nurse leadership, have FWCI scores up to 9.46, demonstrating above‑world‑average impact and uptake across disciplines.
Dr Shinners’ research is informing policy and national strategy. Her work has been cited in policy documents globally, including major reports from the Publications Office of the European Union, the Office of the New Zealand Prime Minister’s Chief Science Advisor, and the Australian Government Department of Health. These citations demonstrate direct influence on digital health, AI governance and safe technology adoption.
She has also collaborated with CSIRO to establish First Nations community priorities for AI, a contribution recognised in Lowitja Institute’s national review of AI policy. This work is supporting Indigenous‑led approaches to digital health innovation and shaping future directions for equitable, culturally grounded technology development.
Works
Search Professor Lucy Shinners’s works on UQ eSpace
2026
Journal Article
Postinsertion care practices for nontunnelled dialysis catheters in intensive care: A cross-sectional survey
Corley, Amanda, Takashima, Mari, Bloomer, Melissa J., Ullman, Amanda J., Keogh, Samantha, Shinners, Lucy, Hall, Stephanie, O'Brien, Catherine, Larsen, Emily N., Coyer, Fiona and Marsh, Nicole (2026). Postinsertion care practices for nontunnelled dialysis catheters in intensive care: A cross-sectional survey. Australian Critical Care, 39 (5) 101653, 101653. doi: 10.1016/j.aucc.2026.101653
2026
Journal Article
A shared journey: uncovering support needs and challenges of health student placement supervisors to improve placement experiences
Russ, Erica, Lapkin, Samuel, Jonathan, Kate, Toohey, Kellie, Wilson, Donna, Shinners, Lucy and Buchan, Jena (2026). A shared journey: uncovering support needs and challenges of health student placement supervisors to improve placement experiences. Higher Education Research and Development, 1-16. doi: 10.1080/07294360.2026.2679247
2026
Journal Article
Contributions of artificial intelligence to decision making in nursing: a scoping review
Fernandes, Filipe, Shinners, Lucy, Mota, Mauro, Santos, Paulo and Sá, Luís (2026). Contributions of artificial intelligence to decision making in nursing: a scoping review. Nursing and Health Sciences, 28 (1) e70308, 1-25. doi: 10.1111/nhs.70308
2025
Journal Article
Evaluation of undergraduate nurses’ acceptance and adoption of mLearning in India
Aggar, Christina, Raddi, Sudha, Sorwar, Golam, Nasrawi, Dima, Sogalad, Manjunath, Dandagi, Shivarajkumar, Devulkar, Namrata, Shinners, Lucy, Walker, Felicity and Massey, Deb (2025). Evaluation of undergraduate nurses’ acceptance and adoption of mLearning in India. Journal of Education and Health Promotion, 14 (1) 472, 1-12. doi: 10.4103/jehp.jehp_1851_24
2025
Other Outputs
Artificial intelligence for healthcare in Australian Indigenous communities: scoping project to explore relevance
Goodman, Andrew, Shinners, Lucy and Mahoney, Ray (2025). Artificial intelligence for healthcare in Australian Indigenous communities: scoping project to explore relevance. Australian e-Health Research Centre, CSIRO. Surgical, Treatment and Rehabilitation Service – STARS, Level 7, 296 Herston Road, Herston QLD 4029: CSIRO. doi: 10.25919/xr2c-6s69
2025
Conference Publication
Post-insertion care practices for non-tunnelled haemodialysis catheters in the intensive care unit: an Australia-wide cross-sectional survey
Corley, Amanda, Bloomer, Melissa, Shinners, Lucy, Takashima, Mari, Ullman, Amanda, Keogh, Samantha, O'Brien, Catherine, Larsen, Emily, Coyer, Fiona and Marsh, Nicole (2025). Post-insertion care practices for non-tunnelled haemodialysis catheters in the intensive care unit: an Australia-wide cross-sectional survey. Australian and New Zealand Intensive Care Society/Australian College of Critical Care Nursing Intensive Care Annual Scientific meeting, Christchurch, New Zealand, 9 - 11 April 2025. Philadelphia, PA United States: Elsevier. doi: 10.1016/j.aucc.2025.101363
2025
Journal Article
Overcoming barriers and enabling artificial intelligence adoption in allied health clinical practice: A qualitative study
Hoffman, Jane, Wenke, Rachel, Angus, Rebecca L, Shinners, Lucy, Richards, Brent and Hattingh, Laetitia (2025). Overcoming barriers and enabling artificial intelligence adoption in allied health clinical practice: A qualitative study. Digital Health, 11 20552076241311144, 1-14. doi: 10.1177/20552076241311144
2025
Journal Article
Artificial intelligence in health care: assessing impact on professional roles and preparedness among hospital nurse leaders
Alnomasy, Nader, Pangket, Petelyne, Alreshidi, Bader, Alrashidi, Habib, Shinners, Lucy, Alsaqri, Salman and Mostoles, Romeo (2025). Artificial intelligence in health care: assessing impact on professional roles and preparedness among hospital nurse leaders. Digital Health, 11 20552076251356362. doi: 10.1177/20552076251356362
2024
Journal Article
Allied health professionals’ perceptions of artificial intelligence in the clinical setting: a cross sectional survey
Hoffman, Jane, Hattingh, Laetitia, Shinners, Lucy, Angus, Rebecca L., Richards, Brent, Hughes, Ian and Wenke, Rachel (2024). Allied health professionals’ perceptions of artificial intelligence in the clinical setting: a cross sectional survey. JMIR Formative Research, 8 e57204, 1-16. doi: 10.2196/57204
2024
Journal Article
A toolkit for delirium identification and promoting partnerships between carers and nurses: a pilot pre–post feasibility study
Aggar, Christina, Craswell, Alison, Bail, Kasia, Compton, Roslyn M., Hughes, Mark, Sorwar, Golam, Baker, James, Greenhill, Jennene, Shinners, Lucy, Nichols, Belinda, Langheim, Rachel, Wallis, Allison, Bowen, Karen and Bridgett, Hazel (2024). A toolkit for delirium identification and promoting partnerships between carers and nurses: a pilot pre–post feasibility study. Journal of General Internal Medicine, 39 (11), 2001-2008. doi: 10.1007/s11606-024-08734-6
2023
Journal Article
Healthcare professionals' experiences and perceptions of artificial intelligence in regional and rural health districts in Australia
Shinners, Lucy, Aggar, Christina, Stephens, Alexandre and Grace, Sandra (2023). Healthcare professionals' experiences and perceptions of artificial intelligence in regional and rural health districts in Australia. Australian Journal of Rural Health, 31 (6), 1203-1213. doi: 10.1111/ajr.13045
2023
Journal Article
Partnering with carers in the management of delirium in general acute care settings: An integrative review
Aggar, Christina, Craswell, Alison, Bail, Kasia, Compton, Roslyn, Hughes, Mark, Sorwar, Golam, Baker, James, Shinners, Lucy and Greenhill, Jennene (2023). Partnering with carers in the management of delirium in general acute care settings: An integrative review. Australasian Journal on Ageing, 42 (4), 638-648. doi: 10.1111/ajag.13229
2023
Journal Article
An evaluation of the use of an iPad for hospital orientation in a regional hospital
Jovelijic, Jana, Shinners, Lucy R. and Coutts, Rosanne A. (2023). An evaluation of the use of an iPad for hospital orientation in a regional hospital. Collegian, 30 (3), 491-497. doi: 10.1016/j.colegn.2023.02.001
2023
Journal Article
A co-designed web-based Delirium Toolkit for carers: An eDelphi evaluation of usability and quality
Aggar, Christina, Craswell, Alison, Bail, Kasia, Compton, Roslyn, Hughes, Mark, Sorwar, Golam, Hamiduzzaman, Khoka, Greenhill, Jennene, Shinners, Lucy and Baker, James (2023). A co-designed web-based Delirium Toolkit for carers: An eDelphi evaluation of usability and quality. Collegian, 30 (2), 380-385. doi: 10.1016/j.colegn.2022.11.001
2022
Journal Article
xPM: Enhancing exogenous data visibility
Banham, Adam, Leemans, Sander J.J., Wynn, Moe T., Andrews, Robert, Laupland, Kevin B. and Shinners, Lucy (2022). xPM: Enhancing exogenous data visibility. Artificial Intelligence in Medicine, 133 102409, 1-15. doi: 10.1016/j.artmed.2022.102409
2022
Journal Article
Prevention and management of delirium in older Australians: The need for the integration of carers as partners in care
Aggar, Christina, Craswell, Alison, Bail, Kasia, Compton, Roslyn M., Hamiduzzaman, Khoka, Sorwar, Golam, Hughes, Mark, Greenhill, Jennene, Shinners, Lucy and Baker, James R. (2022). Prevention and management of delirium in older Australians: The need for the integration of carers as partners in care. The Lancet Regional Health - Western Pacific, 27 100598, 100598-27. doi: 10.1016/j.lanwpc.2022.100598
2022
Journal Article
Exploring healthcare professionals’ perceptions of artificial intelligence: Piloting the Shinners Artificial Intelligence Perception tool
Shinners, Lucy, Grace, Sandra, Smith, Stuart, Stephens, Alexandre and Aggar, Christina (2022). Exploring healthcare professionals’ perceptions of artificial intelligence: Piloting the Shinners Artificial Intelligence Perception tool. Digital Health, 8, 205520762210781-8. doi: 10.1177/20552076221078110
2021
Journal Article
Evaluation of a digital application to support internationally qualified nurses' communication and leadership skills
Aggar, Christina, Shinners, Lucy, Penman, Olivia, Mainey, Lydia, Kurup, Chanchal, Hallett, Jane, Doran, Frances and Raddi, Sudha (2021). Evaluation of a digital application to support internationally qualified nurses' communication and leadership skills. Nurse Education Today, 104 104982, 1-6. doi: 10.1016/j.nedt.2021.104982
2021
Journal Article
Exploring healthcare professionals’ perceptions of artificial intelligence: validating a questionnaire using the e-Delphi method
Shinners, Lucy, Aggar, Christina, Grace, Sandra and Smith, Stuart (2021). Exploring healthcare professionals’ perceptions of artificial intelligence: validating a questionnaire using the e-Delphi method. Digital Health, 7 20552076211003433, 1-9. doi: 10.1177/20552076211003433
2020
Journal Article
Experiences of internationally qualified registered nurses enrolled in a bridging program in Australia: a pilot study
Aggar, Christina, Shinners, Lucy, Thomas, Tamsin and Stockhausen, Lynette (2020). Experiences of internationally qualified registered nurses enrolled in a bridging program in Australia: a pilot study. Collegian, 27 (3), 298-303. doi: 10.1016/j.colegn.2019.09.003
Supervision
Availability
- Dr Lucy Shinners is:
- Available for supervision
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Media
Enquiries
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