How should artificial intelligence be used in Australian health care? Recommendations from a citizens' jury.

Artificial intelligence Health policy Healthcare disparities

Journal

The Medical journal of Australia
ISSN: 1326-5377
Titre abrégé: Med J Aust
Pays: Australia
ID NLM: 0400714

Informations de publication

Date de publication:
17 Apr 2024
Historique:
received: 30 06 2023
accepted: 06 11 2023
medline: 17 4 2024
pubmed: 17 4 2024
entrez: 17 4 2024
Statut: aheadofprint

Résumé

To support a diverse sample of Australians to make recommendations about the use of artificial intelligence (AI) technology in health care. Citizens' jury, deliberating the question: "Under which circumstances, if any, should artificial intelligence be used in Australian health systems to detect or diagnose disease?" Thirty Australian adults recruited by Sortition Foundation using random invitation and stratified selection to reflect population proportions by gender, age, ancestry, highest level of education, and residential location (state/territory; urban, regional, rural). The jury process took 18 days (16 March - 2 April 2023): fifteen days online and three days face-to-face in Sydney, where the jurors, both in small groups and together, were informed about and discussed the question, and developed recommendations with reasons. Jurors received extensive information: a printed handbook, online documents, and recorded presentations by four expert speakers. Jurors asked questions and received answers from the experts during the online period of the process, and during the first day of the face-to-face meeting. Jury recommendations, with reasons. The jurors recommended an overarching, independently governed charter and framework for health care AI. The other nine recommendation categories concerned balancing benefits and harms; fairness and bias; patients' rights and choices; clinical governance and training; technical governance and standards; data governance and use; open source software; AI evaluation and assessment; and education and communication. The deliberative process supported a nationally representative sample of citizens to construct recommendations about how AI in health care should be developed, used, and governed. Recommendations derived using such methods could guide clinicians, policy makers, AI researchers and developers, and health service users to develop approaches that ensure trustworthy and responsible use of this technology.

Identifiants

pubmed: 38629188
doi: 10.5694/mja2.52283
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Health and Medical Research Council
ID : NHMRC 1181960

Informations de copyright

© 2024 The Authors. Medical Journal of Australia published by John Wiley & Sons Australia, Ltd on behalf of AMPCo Pty Ltd.

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Auteurs

Stacy M Carter (SM)

University of Wollongong, Wollongong, NSW.
Australian Centre for Health Engagement, Evidence and Values, University of Wollongong, Wollongong, NSW.

Yves Saint James Aquino (YSJ)

University of Wollongong, Wollongong, NSW.
Australian Centre for Health Engagement, Evidence and Values, University of Wollongong, Wollongong, NSW.

Lucy Carolan (L)

University of Wollongong, Wollongong, NSW.
Australian Centre for Health Engagement, Evidence and Values, University of Wollongong, Wollongong, NSW.

Emma Frost (E)

University of Wollongong, Wollongong, NSW.
Australian Centre for Health Engagement, Evidence and Values, University of Wollongong, Wollongong, NSW.

Chris Degeling (C)

University of Wollongong, Wollongong, NSW.
Australian Centre for Health Engagement, Evidence and Values, University of Wollongong, Wollongong, NSW.

Wendy A Rogers (WA)

Macquarie University, Sydney, NSW.

Ian A Scott (IA)

University of Queensland, Brisbane, QLD.
Princess Alexandra Hospital, Brisbane, QLD.

Katy Jl Bell (KJ)

The University of Sydney, Sydney, NSW.

Belinda Fabrianesi (B)

University of Wollongong, Wollongong, NSW.
Australian Centre for Health Engagement, Evidence and Values, University of Wollongong, Wollongong, NSW.

Farah Magrabi (F)

Australian Institute for Health Innovation, Macquarie University, Sydney, NSW.

Classifications MeSH