Student perspectives on the integration of artificial intelligence into healthcare services

被引:14
|
作者
Ahmad, Muna N. [1 ]
Abdallah, Saja A. [2 ]
Abbasi, Saddam A. [3 ,4 ]
Abdallah, Atiyeh M. [1 ]
机构
[1] Qatar Univ, Coll Hlth Sci, Dept Biomed Sci, QU Hlth, Bldg I06,Room A2-20, Doha, Qatar
[2] Univ Birmingham Med Sch, Edgbaston Campus, Birmingham, England
[3] Qatar Univ, Dept Math Stat & Phys, Doha, Qatar
[4] Qatar Univ, Coll Arts & Sci, Stat Consulting Unit, Doha, Qatar
来源
DIGITAL HEALTH | 2023年 / 9卷
关键词
Artificial intelligence; healthcare; students; perception; awareness; Qatar; TECHNOLOGY;
D O I
10.1177/20552076231174095
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
BackgroundHealthcare workers are often overworked, underfunded, and face many challenges. Integration of artificial intelligence into healthcare service provision can tackle these challenges by relieving burdens on healthcare workers. Since healthcare students are our future healthcare workers, we assessed the knowledge, attitudes, and perspectives of current healthcare students at Qatar University on the implementation of artificial intelligence into healthcare services. MethodsThis was a cross-sectional study of QU-Health Cluster students via an online survey over a three-week period in November 2021. Chi-squared tests and gamma coefficients were used to compare differences between categorical variables. ResultsOne hundred and ninety-three QU-Health students responded. Most participants had a positive attitude towards artificial intelligence, finding it useful and reliable. The most popular perceived advantage of artificial intelligence was its ability to speed up work processes. Around 40% expressed concern about a threat to job security from artificial intelligence, and a majority believed that artificial intelligence cannot provide sympathetic care (57.9%). Participants who felt that artificial intelligence can better make diagnoses than humans also agreed that artificial intelligence could replace their job (p = 0.005). Male students had more knowledge (p = 0.005) and received more training (p = 0.005) about healthcare artificial intelligence. Participants cited a lack of expert mentorship as a barrier to obtaining knowledge about artificial intelligence, followed by lack of dedicated courses and funding. ConclusionsMore resources are required for students to develop a good understanding about artificial intelligence. Education needs to be supported by expert mentorship. Further work is needed on how best to integrate artificial intelligence teaching into university curricula.
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页数:12
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