Health Care Employees' Perceptions of the Use of Artificial Intelligence Applications: Survey Study

被引:93
|
作者
Abdullah, Rana [1 ]
Fakieh, Bahjat [1 ]
机构
[1] King Abdulaziz Univ, Informat Syst Dept, Jeddah 21589, Saudi Arabia
关键词
artificial intelligence; employees; healthcare sector; perception; Saudi Arabia;
D O I
10.2196/17620
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
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.
引用
下载
收藏
页数:8
相关论文
共 50 条
  • [1] Applications of Artificial Intelligence in Health Care Delivery
    Spear, Joseph
    Ehrenfeld, Jesse M.
    Miller, Brian J.
    JOURNAL OF MEDICAL SYSTEMS, 2023, 47 (01)
  • [2] Applications of Artificial Intelligence in Health Care Delivery
    Joseph Spear
    Jesse M. Ehrenfeld
    Brian J. Miller
    Journal of Medical Systems, 47
  • [3] Perceptions of Artificial Intelligence Use in Primary Care: A Qualitative Study with Providers and Staff of Ontario Community Health Centres
    Nash, Danielle M.
    Thorpe, Cathy
    Brown, Judith Belle
    Kueper, Jacqueline K.
    Rayner, Jennifer
    Lizotte, Daniel J.
    Terry, Amanda L.
    Zwarenstein, Merrick
    JOURNAL OF THE AMERICAN BOARD OF FAMILY MEDICINE, 2023, 36 (02) : 221 - 228
  • [4] Parental Perceptions on Use of Artificial Intelligence in Pediatric Acute Care
    Ramgopal, Sriram
    Heffernan, Marie E.
    Bendelow, Anne
    Davis, Matthew M.
    Carroll, Michael S.
    Florin, Todd A.
    Alpern, Elizabeth R.
    Macy, Michelle L.
    ACADEMIC PEDIATRICS, 2023, 23 (01) : 140 - 147
  • [5] Artificial Intelligence in Clinical Health Care Applications: Viewpoint
    van Hartskamp, Michael
    Consoli, Sergio
    Verhaegh, Wim
    Petkovic, Milan
    van de Stolpe, Anja
    INTERACTIVE JOURNAL OF MEDICAL RESEARCH, 2019, 8 (02):
  • [6] Artificial Intelligence in Health Care: Current Applications and Issues
    Park, Chan-Woo
    Seo, Sung Wook
    Kang, Noeul
    Ko, BeomSeok
    Choi, Byung Wook
    Park, ChangMin
    Chang, Dong Kyung
    Kim, Hwiuoung
    Kim, Hyunchul
    Lee, Hyunna
    Jang, Jinhee
    Ye, Jong Chul
    Jeon, Jong Hong
    Seo, Joon Beom
    Kim, Kwang Joon
    Jung, Kyu-Hwan
    Kim, Namkug
    Paek, Seungwook
    Shin, Soo-Yong
    Yoo, Soyoung
    Choi, Yoon Sup
    Kim, Youngjun
    Yoon, Hyung-Jin
    JOURNAL OF KOREAN MEDICAL SCIENCE, 2020, 35 (42) : 1 - 11
  • [7] Public perceptions and implementation considerations on the use of artificial intelligence in health
    Romero, Romina A.
    Young, Sean D.
    JOURNAL OF EVALUATION IN CLINICAL PRACTICE, 2022, 28 (01) : 75 - 78
  • [8] Perceptions of the use of artificial intelligence in the diagnosis of skin cancer: an outpatient survey
    Lim, K.
    Neal-Smith, G.
    Mitchell, C.
    Xerri, J.
    Chuanromanee, P.
    CLINICAL AND EXPERIMENTAL DERMATOLOGY, 2022, 47 (03) : 542 - 546
  • [9] Patient Perceptions on Data Sharing and Applying Artificial Intelligence to Health Care Data: Cross-sectional Survey
    Aggarwal, Ravi
    Farag, Soma
    Martin, Guy
    Ashrafian, Hutan
    Darzi, Ara
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2021, 23 (08)
  • [10] Artificial Intelligence in Veterinary Care: A Review of Applications for Animal Health
    Albadrani, Basima Abdulfatah
    Abdel-Raheem, M. a.
    Al-Farwachi, Maab I.
    EGYPTIAN JOURNAL OF VETERINARY SCIENCE, 2024, 55 (06): : 1725 - 1736