TY  - JOUR
AU  - Abdullah, Rana
AU  - Fakieh, Bahjat
PY  - 2020
DA  - 2020/5/14
TI  - Health Care Employees’ Perceptions of the Use of Artificial Intelligence Applications: Survey Study
JO  - J Med Internet Res
SP  - e17620
VL  - 22
IS  - 5
KW  - artificial intelligence
KW  - employees
KW  - healthcare sector
KW  - perception
KW  - Saudi Arabia
AB  - Background: The advancement of health care information technology and the emergence of artificial intelligence has yielded tools to improve the quality of various health care processes. Few studies have investigated employee perceptions of artificial intelligence implementation in Saudi Arabia and the Arabian world. In addition, limited studies investigated the effect of employee knowledge and job title on the perception of artificial intelligence implementation in the workplace. Objective: The aim of this study was to explore health care employee perceptions and attitudes toward the implementation of artificial intelligence technologies in health care institutions in Saudi Arabia. Methods: An online questionnaire was published, and responses were collected from 250 employees, including doctors, nurses, and technicians at 4 of the largest hospitals in Riyadh, Saudi Arabia. Results: The results of this study showed that 3.11 of 4 respondents feared artificial intelligence would replace employees and had a general lack of knowledge regarding artificial intelligence. In addition, most respondents were unaware of the advantages and most common challenges to artificial intelligence applications in the health sector, indicating a need for training. The results also showed that technicians were the most frequently impacted by artificial intelligence applications due to the nature of their jobs, which do not require much direct human interaction. Conclusions: The Saudi health care sector presents an advantageous market potential that should be attractive to researchers and developers of artificial intelligence solutions. 
SN  - 1438-8871
UR  - http://www.jmir.org/2020/5/e17620/
UR  - https://doi.org/10.2196/17620
UR  - http://www.ncbi.nlm.nih.gov/pubmed/32406857
DO  - 10.2196/17620
ID  - info:doi/10.2196/17620
ER  -