This paper is in the following e-collection/theme issue:

Artificial Intelligence (2162) Adoption and Change Management of eHealth Systems (906) Decision Support for Health Professionals (1555)

Published on in Vol 24, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37611, first published .
The Adoption of Artificial Intelligence in Health Care and Social Services in Australia: Findings From a Methodologically Innovative National Survey of Values and Attitudes (the AVA-AI Study)

The Adoption of Artificial Intelligence in Health Care and Social Services in Australia: Findings From a Methodologically Innovative National Survey of Values and Attitudes (the AVA-AI Study)

The Adoption of Artificial Intelligence in Health Care and Social Services in Australia: Findings From a Methodologically Innovative National Survey of Values and Attitudes (the AVA-AI Study)

Authors of this article:

Sebastian Isbanner1 Author Orcid Image ;   Pauline O’Shaughnessy2 Author Orcid Image ;   David Steel2 Author Orcid Image ;   Scarlet Wilcock3 Author Orcid Image ;   Stacy Carter4 Author Orcid Image
Article Authors Cited by (35) Tweetations (19) Metrics

Journals

  1. Aquino Y, Carter S, Houssami N, Braunack-Mayer A, Win K, Degeling C, Wang L, Rogers W. Practical, epistemic and normative implications of algorithmic bias in healthcare artificial intelligence: a qualitative study of multidisciplinary expert perspectives. Journal of Medical Ethics 2025;51(6):420 View
  2. Pelly M, Fatehi F, Liew D, Verdejo-Garcia A. Artificial intelligence for secondary prevention of myocardial infarction: A qualitative study of patient and health professional perspectives. International Journal of Medical Informatics 2023;173:105041 View
  3. Smith C, Vajdic C, Stephenson N. Centring equity in data‐driven public health: a call for guiding principles to support the equitable design and outcomes of Australia's data integration systems. Medical Journal of Australia 2023;218(8):341 View
  4. Carter S, Carolan L, Saint James Aquino Y, Frazer H, Rogers W, Hall J, Degeling C, Braunack-Mayer A, Houssami N. Australian women's judgements about using artificial intelligence to read mammograms in breast cancer screening. DIGITAL HEALTH 2023;9 View
  5. Gould D, Dowsey M, Glanville-Hearst M, Spelman T, Bailey J, Choong P, Bunzli S. Patients’ Views on AI for Risk Prediction in Shared Decision-Making for Knee Replacement Surgery: Qualitative Interview Study. Journal of Medical Internet Research 2023;25:e43632 View
  6. Stewart J, Freeman S, Eroglu E, Dumitrascu N, Lu J, Goudie A, Sprivulis P, Akhlaghi H, Tran V, Sanfilippo F, Celenza A, Than M, Fatovich D, Walker K, Dwivedi G. Attitudes towards artificial intelligence in emergency medicine. Emergency Medicine Australasia 2024;36(2):252 View
  7. YORGANCİOGLU TARCAN G, YALÇIN BALÇIK P, SEBİK N. Türkiye ve Dünyada Sağlık Hizmetlerinde Yapay Zekâ. Mersin Üniversitesi Tıp Fakültesi Lokman Hekim Tıp Tarihi ve Folklorik Tıp Dergisi 2024;14(1):50 View
  8. Machado H, Silva S, Neiva L. Publics’ views on ethical challenges of artificial intelligence: a scoping review. AI and Ethics 2025;5(1):139 View
  9. van der Vegt A, Campbell V, Zuccon G. Why clinical artificial intelligence is (almost) non‐existent in Australian hospitals and how to fix it. Medical Journal of Australia 2024;220(4):172 View
  10. Cai Z, He H, Huo W, Xu X. More Unique, More Accepting? Integrating Sense of Uniqueness, Perceived Knowledge, and Perceived Empathy with Acceptance of Medical Artificial Intelligence. International Journal of Human–Computer Interaction 2024;40(24):8433 View
  11. Frost E, O’Shaughnessy P, Steel D, Braunack-Mayer A, Aquino Y, Carter S. Measures of socioeconomic advantage are not independent predictors of support for healthcare AI: subgroup analysis of a national Australian survey. BMJ Health & Care Informatics 2023;30(1):e100714 View
  12. Kovoor J, Bacchi S, Sharma P, Sharma S, Kumawat M, Stretton B, Gupta A, Chan W, Abou‐Hamden A, Maddern G. Artificial intelligence for surgical services in Australia and New Zealand: opportunities, challenges and recommendations. Medical Journal of Australia 2024;220(5):234 View
  13. Frost E, Bosward R, Aquino Y, Braunack-Mayer A, Carter S. Facilitating public involvement in research about healthcare AI: A scoping review of empirical methods. International Journal of Medical Informatics 2024;186:105417 View
  14. Lee Y, Stretton B, Tan S, Gupta A, Kovoor J, Bacchi S, Lim W, Chan W. Captive markets and medical artificial intelligence. Journal of Medical Imaging and Radiation Oncology 2024;68(3):278 View
  15. Tulğan B, Pak Güre M. In the Echoes of Tomorrow: The Intersection of Social Work and Artificial Intelligence Through the Eyes of Turkish Students. Journal of Social Service Research 2024;50(4):620 View
  16. Botha N, Ansah E, Segbedzi C, Dumahasi V, Maneen S, Kodom R, Tsedze I, Akoto L, Atsu F. Artificial intelligent tools: evidence-mapping on the perceived positive effects on patient-care and confidentiality. BMC Digital Health 2024;2(1) View
  17. Barlow R, Bewley A, Gkini M. AI in Psoriatic Disease: Scoping Review. JMIR Dermatology 2024;7:e50451 View
  18. Colalillo J, Smith J. Artificial intelligence in medicine: The rise of machine learning. Emergency Medicine Australasia 2024;36(4):628 View
  19. Hassan M, Kushniruk A, Borycki E. Barriers to and Facilitators of Artificial Intelligence Adoption in Health Care: Scoping Review. JMIR Human Factors 2024;11:e48633 View
  20. Botha N, Segbedzi C, Dumahasi V, Maneen S, Kodom R, Tsedze I, Akoto L, Atsu F, Lasim O, Ansah E. Artificial intelligence in healthcare: a scoping review of perceived threats to patient rights and safety. Archives of Public Health 2024;82(1) View
  21. Cheng S, Ng P. The PDC30 Chatbot—Development of a Psychoeducational Resource on Dementia Caregiving Among Family Caregivers: Mixed Methods Acceptability Study. JMIR Aging 2025;8:e63715 View
  22. Taşkıran Tepe H, Aslantürk H. Comparative Efficacy of AI LLMs in Clinical Social Work: ChatGPT-4, Gemini, Copilot. Research on Social Work Practice 2025;35(8):968 View
  23. Frost E, Aquino Y, Braunack‐Mayer A, Carter S. Understanding Public Judgements on Artificial Intelligence in Healthcare: Dialogue Group Findings From Australia. Health Expectations 2025;28(2) View
  24. Baillie L, Stewart-Lord A, Thomas N, Frings D. Patients’, clinicians’ and developers’ perspectives and experiences of artificial intelligence in cardiac healthcare: A qualitative study. DIGITAL HEALTH 2025;11 View
  25. Torres D, Wermelinger E, Ferreira A. Aplicação da Inteligência Artificial na Atenção Primária à Saúde: revisão de escopo e avaliação crítica. Saúde em Debate 2025;49(145) View
  26. Cabrera Olvera J, Pinargote Zambrano G, Villaprado Vélez S, Carreño Navia L, Vite Solorzano F. Artificial intelligence-mediated surgical center management: limitations, application, and opportunities. EthAIca 2025;4:201 View
  27. Pruski M. Ethical Challenges to the Adoption of AI in Healthcare: A Review. The New Bioethics 2024;30(4):251 View
  28. Abejirinde I, Itanyi I, Kornas K, Zaim R, Guha S, Chui V, Lipscombe L, Rosella L, Shaw J. Principles and Practices of Community Engagement in AI for Population Health: Formative Qualitative Study of the AI for Diabetes Prediction and Prevention Project. Journal of Participatory Medicine 2025;17:e69497 View
  29. Vo V, Woode M, Carter S, Degeling C, Chen G. Unravelling Public Preferences for the Use of Artificial Intelligence Mobile Health Applications in Australia. Value in Health 2025;28(11):1696 View
  30. Pruski M, Woolley K, Withers K. Barriers and Facilitators to Health Care AI Adoption Among Those Living in Wales and Working in Health Care in Wales: Online Survey. Journal of Medical Internet Research 2025;27:e81543 View
  31. ÇETİN B. Sağlık Hizmetleri ve Yapay Zekâ İlişkisi Araştırma Eğilimlerinin Bibliyometrik Ağ Analizi ile Haritalandırılması. Üçüncü Sektör Sosyal Ekonomi Dergisi 2025;60(4):4422 View

Books/Policy Documents

  1. Sreeraj V, Parlikar R, Bagali K, Singh Shekhawat H, Venkatasubramanian G. Exploration of Artificial Intelligence and Blockchain Technology in Smart and Secure Healthcare. View
  2. Sathianarayanan M, Kirdemir U, Gianoli A. Nexus of AI, Climatology, and Urbanism for Smart Cities. View
  3. Patne A, Suryawanshic M. Artificial Intelligence in Patient Counselling. View

Conference Proceedings

  1. Zhu Z. Proceedings of the 2024 4th International Conference on Big Data, Artificial Intelligence and Risk Management. Trends and Hotspots in Global Artificial Intelligence Public Policy Research (2014–2024) A Bibliometric Analysis Using CiteSpace and VOSviewer View