Doctor Resistance of Artificial Intelligence in Healthcare

被引：5
|
作者：
Chaibi, Asma [1 ]
Zaiem, Imed [2 ]
机构：
[1] Univ El Manar, South Mediterranean Univ, Mediterranean Sch Business, FSEGT, Tunis, Tunisia
[2] Univ Carthage, Fac Econ & Management Nabeul, Carthage, Tunisia
来源：
INTERNATIONAL JOURNAL OF HEALTHCARE INFORMATION SYSTEMS AND INFORMATICS | 2022年 / 17卷 / 01期
关键词：
Artificial Intelligence; Barriers to Innovation Adoption; Digital Health; Digitalization of healthcare; Doctor's Resistance; Innovation Resistance Theories; Medical technologies; Qualitative Research; MODEL; INNOVATION; BARRIERS;
D O I：
10.4018/IJHISI.315618
中图分类号：
R-058 [];
学科分类号：
摘要：
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.
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页数：13
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