Accepted for/Published in: JMIR Formative Research
Date Submitted: Oct 31, 2022
Date Accepted: Apr 19, 2023
Expectations of Anaesthesiology and Intensive Care Professionals towards Artificial Intelligence: An observational study
ABSTRACT
Background:
Artificial Intelligence (AI) applications are becoming increasingly popular. The acceptance of AI at work depends on how the new technology meets the demands of the staff. The requirements and concerns of anaesthesiologists and intensive care physicians throughout Europe considering AI systems in healthcare have not yet been surveyed.
Objective:
This Europe-wide, cross-sectional observational study, investigates how potential users of AI systems in anaesthesiology and intensive care assess the opportunities and risks of the new technology. The online questionnaire was based on the established analytic model of acceptance of innovations by Rogers.
Methods:
The questionnaire was sent twice in two months (3/11/2021-5/9/2021) via the European Society of Anaesthesiology and Intensive Care (ESAIC) member email distribution list. 9294 ESAIC members were reached, of which 728 filled out the questionnaire (response rate: 7.8%). 27 questionnaires were excluded due to missing data. The analyses were conducted with 701 participants.
Results:
701 questionnaires (female n = 299, 42%) were analysed. 265 (37.8%) of the participants have been in contact with AI. Participants see the most benefits of AI application in early warning systems (n = 335, 24%) and improvement of patient safety (n = 196, 14%). Technical problems were stated as a potential disadvantage (n = 236, 23%). Participants who were in contact with AI evaluated the benefits higher (M = 3.22 ± 0.39) than participants who stated no previous contact with AI (M = 3.01 ± 0.48).
Conclusions:
Anaesthesiologists and intensive care physicians are open to AI applications in their professional field. However, AI is accompanied by prejudices and concerns. Implementation of AI requires appropriate user education and training to be successfully exploited in healthcare for the benefit of employees and patients
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