Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Jul 26, 2022
Open Peer Review Period: Jul 26, 2022 - Sep 20, 2022
Date Accepted: Jan 23, 2023
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Artificial Intelligence Adoption in Healthcare: Do Communication Strategies Matter?
ABSTRACT
Background:
Artificial intelligence (AI) can transform health care processes with its increasing ability to translate complex structured and unstructured data into actionable clinical decisions. While AI has been adopted at unprecedented rates, the adoption rate has been slower compared to growth in AI research. Prior research has focussed on the optimal configuration of social, technical, economic and organizational factors to ascertain increased adoption of AI. However, prior studies point out that lack of trust in AI, privacy concerns, degrees of customer innovativeness and perceived novelty value influences AI adoption. With AI-enabled systems being marketed to consumers and practitioners alike, the influence of communication strategies in such campaigns on AI adoption has received scant attention. Our paper addresses this research gap by examining if different communication strategies have better success in overcoming factors that hinder various stakeholders from adopting AI. Our results indicate that certain communications strategies positively impact user’s trust, customer innovativeness, and perceived novelty value, leading to improved AI adoption. The findings of this research would significantly help AI providers to better target the communication directed to various stakeholders (e.g., consumers, etc.) thereby having better success at achieving increased AI adoption and acceptance.
Objective:
To confirm if Artificial Intelligence Adoption in Healthcare: Do Communication Strategies Matter?
Methods:
Experiment and statistical analysis
Results:
Yes, Artificial Intelligence Adoption in Healthcare: Communication Strategies do Matter
Conclusions:
Yes, Artificial Intelligence Adoption in Healthcare: Communication Strategies do Matter Clinical Trial: Yes, Artificial Intelligence Adoption in Healthcare: Communication Strategies do Matter
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.