Understanding Public Judgements on Artificial Intelligence in Healthcare: Dialogue Group Findings From Australia.
Introduction: There is a rapidly increasing number of applications of healthcare artificial intelligence (HCAI). Alongside this, a new field of research is investigating public support for HCAI. We conducted a study to identify the conditions on Australians' support for HCAI, with an emphasis on ide...
| Publicado en: | Health Expectations Vol. 28; no. 2; pp. 1 - 15 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Apr2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=184679833&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 184679833 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13696513 EVY jtl: Health Expectations issn: 13696513 maglogo: Y pubinfo: dt: Apr2025 vid: 28 iid: 2 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 184679833 184679833 184679833 10.1111/hex.70185 184679833 ppf: 1 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P tig: atl: Understanding Public Judgements on Artificial Intelligence in Healthcare: Dialogue Group Findings From Australia. aug: au: Frost, Emma K. Aquino, Yves Saint James Braunack‐Mayer, Annette Carter, Stacy M. affil: Australian Centre for Health Engagement, Evidence and Values, School of Social Science, Faculty of the Arts, Social Science and Humanities, University of Wollongong, Gwynneville New South Wales, , Australia sug: subj: Health Facilities Artificial Intelligence Utilization Public Opinion Evaluation Human Funding Source Male Female Adolescence Adult Middle Age Aged Aged, 80 and Over Australia Information Resources Access to Information Decision Making, Computer Assisted Physician-Patient Relations Focus Groups Thematic Analysis Age Factors Computer Literacy Adolescent: 13-18 years Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Male Female ab: Introduction: There is a rapidly increasing number of applications of healthcare artificial intelligence (HCAI). Alongside this, a new field of research is investigating public support for HCAI. We conducted a study to identify the conditions on Australians' support for HCAI, with an emphasis on identifying the instances where using AI in healthcare systems was seen as acceptable or unacceptable. Methods: We conducted eight dialogue groups with 47 Australians, aiming for diversity in age, gender, working status, and experience with information and communication technologies. The moderators encouraged participants to discuss the reasons and conditions for their support for AI in health care. Results: Most participants were conditionally supportive of HCAI. The participants felt strongly that AI should be developed, implemented and controlled with patient interests in mind. They supported HCAI principally as an informational tool and hoped that it would empower people by enabling greater access to personalised information about their health. They were opposed to HCAI as a decision‐making tool or as a replacement for physician–patient interaction. Conclusion: Our findings indicate that Australians support HCAI as a tool that enhances rather than replaces human decision‐making in health care. Australians value HCAI as an epistemic tool that can expand access to personalised health information but remain cautious about its use in clinical decision‐making. Developers of HCAI tools should consider Australians' preferences for AI tools that provide epistemic resources, and their aversion to tools which make decisions autonomously, or replace interactions with their physicians. Patient or Public Contribution: Members of the public were participants in this study. The participants made contributions by sharing their views and judgements. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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