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Doctor Resistance of Artificial Intelligence in Healthcare

Doctor Resistance of Artificial Intelligence in Healthcare

Asma Chaibi, Imed Zaiem
Copyright: © 2022 |Volume: 17 |Issue: 1 |Pages: 13
ISSN: 1555-3396|EISSN: 1555-340X|EISBN13: 9781799878247|DOI: 10.4018/IJHISI.315618
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MLA

Chaibi, Asma, and Imed Zaiem. "Doctor Resistance of Artificial Intelligence in Healthcare." IJHISI vol.17, no.1 2022: pp.1-13. http://doi.org/10.4018/IJHISI.315618

APA

Chaibi, A. & Zaiem, I. (2022). Doctor Resistance of Artificial Intelligence in Healthcare. International Journal of Healthcare Information Systems and Informatics (IJHISI), 17(1), 1-13. http://doi.org/10.4018/IJHISI.315618

Chicago

Chaibi, Asma, and Imed Zaiem. "Doctor Resistance of Artificial Intelligence in Healthcare," International Journal of Healthcare Information Systems and Informatics (IJHISI) 17, no.1: 1-13. http://doi.org/10.4018/IJHISI.315618

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Abstract

Artificial intelligence (AI) has revolutionized healthcare by enhancing the quality of patient care. Despite its advantages, doctors are still reluctant to use AI in healthcare. Thus, the authors' main objective is to obtain an in-depth understanding of the barriers to doctors' adoption of AI in healthcare. The authors conducted semi-structured interviews with 11 doctors. Thematic analysis as chosen to identify patterns using QSR NVivo (version 12). The results showed that the barriers to AI adoption are lack of financial resources, need for special training, performance risk, perceived cost, technology dependency, need for human interaction, and fear of AI replacing human work.