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A Multicentre, Qualitative Evaluation of Australian and New Zealand Emergency Doctors’ Attitudes Towards Artificial Intelligence in Emergency Medicine

A Multicentre, Qualitative Evaluation of Australian and New Zealand Emergency Doctors’ Attitudes Towards Artificial Intelligence in Emergency Medicine

Status
Completed
Phases
Unknown
Study type
Observational
Source
ANZCTR
Registry ID
ACTRN12621000200886
Enrollment
25
Registered
2021-02-25
Start date
2021-07-01
Completion date
2022-05-31
Last updated
2023-09-26

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Brief summary

Background Artificial intelligence (AI) has become increasingly capable over the last decade. AI technologies are approaching or surpassing human abilities at complex tasks. Specifically, in healthcare, AI is approaching or surpassing human clinician ability in multiple narrow domains. Research on AI in medicine has been increasing worldwide and across almost all specialties. General public opinion has seen to be positive in a number of surveys, with the public expressing high hopes that AI could be used to improve healthcare. Interaction with AI technologies is likely to become an increasingly common aspect of healthcare for both patients and physicians. Despite these trends, there is no data regarding Australian and New Zealand emergency doctors’ knowledge, attitudes, and opinions towards AI in general and the use of AI in emergency medicine. Aim Assess Australian and New Zealand emergency doctors’ attitudes and knowledge towards AI in general and the use of AI in emergency medicine. Plan We will conduct voluntary semi-structured interviews with a representative sample of Australian and New Zealand emergency medicine doctors until thematic saturation is achieved. Participants will be recruited through the research teams’ personal networks, and through recruitment advertising through ACEM. We will continue interviews as required until we achieve appropriate representation of the emergency medicine workforce. We will undertake qualitative analysis on transcribed interviews to uncover attitudes and themes.

Interventions

Interviewers blinded to study hypothesis will conduct voluntary semi-structured interviews with a representative sample of Australian and New Zealand emergency medicine doctors to assess their attitudes towards the use of artificial intelligence in emergency medicine. Each participant will be interviewed once, and the interview length will be no more than 45 minutes. Interviews will be conducted via telephone call (without video).

Sponsors

Dr Jonathon Stewart
Lead SponsorIndividual

Eligibility

Sex/Gender
All
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

ACEM trainees and FACEMs working in ACEM accredited emergency departments

Exclusion criteria

None

Outcome results

None listed

Source: ANZCTR · Data processed: Feb 4, 2026