Attitudes towards artificial intelligence in emergency medicine-Reference-Cited by-同舟云学术

Attitudes towards artificial intelligence in emergency medicine

Published:2023-12-04 Issue: Volume: Page:
ISSN:1742-6731
Container-title:Emergency Medicine Australasia
language:en
Short-container-title:Emerg Medicine Australasia

Author:

Stewart Jonathon¹²^ORCID,Freeman Samuel³⁴^ORCID,Eroglu Ege⁵,Dumitrascu Nicole⁵,Lu Juan²⁶,Goudie Adrian⁷^ORCID,Sprivulis Peter⁸,Akhlaghi Hamed⁴^ORCID,Tran Viet⁹¹⁰^ORCID,Sanfilippo Frank¹¹^ORCID,Celenza Antonio¹¹²^ORCID,Than Martin¹³,Fatovich Daniel¹⁴¹⁵^ORCID,Walker Katie¹⁶^ORCID,Dwivedi Girish¹²¹⁷^ORCID

Affiliation:

1. School of Medicine The University of Western Australia Perth Western Australia Australia

2. Department of Advanced Clinical and Translational Cardiovascular Imaging Harry Perkins Institute of Medical Research Perth Western Australia Australia

3. SensiLab Monash University Melbourne Victoria Australia

4. Department of Emergency Medicine St Vincent's Hospital Melbourne Melbourne Victoria Australia

5. School of Medicine The University of Notre Dame Australia Fremantle Western Australia Australia

6. Department of Computer Science and Software Engineering The University of Western Australia Perth Western Australia Australia

7. Department of Emergency Medicine Fiona Stanley Hospital Perth Western Australia Australia

8. Strategy and Governance Division Western Australia Department of Health Perth Western Australia Australia

9. School of Medicine University of Tasmania Hobart Tasmania Australia

10. Department of Emergency Medicine Royal Hobart Hospital Hobart Tasmania Australia

11. School of Population and Global Health The University of Western Australia Perth Western Australia Australia

12. Department of Emergency Medicine Sir Charles Gairdner Hospital Perth Western Australia Australia

13. Department of Emergency Medicine Christchurch Hospital Christchurch New Zealand

14. Emergency Medicine Royal Perth Hospital, The University of Western Australia Perth Western Australia Australia

15. Centre for Clinical Research in Emergency Medicine Harry Perkins Institute of Medical Research Perth Western Australia Australia

16. School of Clinical Sciences at Monash Health Monash University Melbourne Victoria Australia

17. Department of Cardiology Fiona Stanley Hospital Perth Western Australia Australia

Abstract

AbstractObjectiveTo assess Australian and New Zealand emergency clinicians' attitudes towards the use of artificial intelligence (AI) in emergency medicine.MethodsWe undertook a qualitative interview‐based study based on grounded theory. Participants were recruited through ED internal mailing lists, the Australasian College for Emergency Medicine Bulletin, and the research teams' personal networks. Interviews were transcribed, coded and themes presented.ResultsTwenty‐five interviews were conducted between July 2021 and May 2022. Thematic saturation was achieved after 22 interviews. Most participants were from either Western Australia (52%) or Victoria (16%) and were consultants (96%). More participants reported feeling optimistic (10/25) than neutral (6/25), pessimistic (2/25) or mixed (7/25) towards the use of AI in the ED. A minority expressed scepticism regarding the feasibility or value of implementing AI into the ED. Multiple potential risks and ethical issues were discussed by participants including skill loss from overreliance on AI, algorithmic bias, patient privacy and concerns over liability. Participants also discussed perceived inadequacies in existing information technology systems. Participants felt that AI technologies would be used as decision support tools and not replace the roles of emergency clinicians. Participants were not concerned about the impact of AI on their job security. Most (17/25) participants thought that AI would impact emergency medicine within the next 10 years.ConclusionsEmergency clinicians interviewed were generally optimistic about the use of AI in emergency medicine, so long as it is used as a decision support tool and they maintain the ability to override its recommendations.

Funder

Western Australian Health Translation Network

Publisher

Wiley

Subject

Emergency Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1742-6723.14345

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