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Prospective Physicians’ Intention to Adopt Artificial Intelligence : A Configurational Perspective
Wagner, Gerit; Paré, Guy; Raymond, Louis; u. a. (2023): Prospective Physicians’ Intention to Adopt Artificial Intelligence : A Configurational Perspective, in: Proceedings of the 56th Annual Hawaii International Conference on System Sciences : January 3-6, 2023, S. 3005–3014.
Faculty/Chair:
Author:
Title of the compilation:
Proceedings of the 56th Annual Hawaii International Conference on System Sciences : January 3-6, 2023
Conference:
56th Hawaii International Conference on System Sciences : January 3-6, 2023 ; Maui, Hawaii
Year of publication:
2023
Pages:
ISBN:
978-0-9981331-6-4
Language:
English
Abstract:
Artificial intelligence (AI) drives transformation across medical specialities, requiring current and future generations of physicians to navigate ever-changing digital environments. In this context, prospective physicians will play a key role in adopting and applying AI-based health technologies, underlining the importance of understanding their knowledge, attitudes, and intentions toward AI. To dissociate corresponding profiles, we adopted a configurational perspective and conducted a two-stage survey study of 184 (t_0) and 138 (t_1) medical students at a Canadian medical school. Our principal findings corroborate the existence of distinct clusters in respondents’ AI profiles. We refer to these profiles as the AI unfamiliar, the AI educated, and the AI positive, showing that each profile is associated with different intentions towards future AI use. These exploratory insights on the variety of AI profiles in prospective physicians underline the need for targeted and adaptive measures of education and outreach.
GND Keywords: ; ; ; ;
Adoption
Diffusion <Wirtschaft>
Medizinische Ausbildung
Einstellungsforschung
Verhalten
Keywords: ; ; ; ; ; ; ;
IT Adoption
Diffusion
Evaluation in Healthcare
medical students
artificial intelligence
intentions
attitudes
knowledge.
DDC Classification:
RVK Classification:
Type:
Conferenceobject
Activation date:
May 9, 2023
Versioning
Question on publication
Permalink
https://fis.uni-bamberg.de/handle/uniba/59354