Artificial Intelligence in Patient Care in Riyadh, Saudi Arabia 2019-2020

被引:0
作者
Al Fadeel, Mona A. [1 ]
Khalifah, Nouf A. [2 ]
Alshammari, Hotoon S. [2 ]
Smaisem, Fatema S. [2 ]
Al Qahtani, Haya A. [2 ]
Al Otaibi, Asmaa K. [2 ]
Al Shehri, Reham M. [2 ]
Qari, Farah A. [2 ]
Seedahmed, Rayan M. [2 ]
Abutaima, Hanaa M. [2 ]
Al Ameer, Raghad A. [2 ]
机构
[1] Al Maarefa Univ, Coll Med, Community Med, Riyadh, Saudi Arabia
[2] Al Maarefa Univ, Coll Med, Riyadh, Saudi Arabia
关键词
Artificial Intelligence; Physicians; Attitude; Awareness; PHYSICIAN USE; TECHNOLOGY; ACCEPTANCE; INNOVATION; ATTITUDES; SURGEONS;
D O I
暂无
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Background: Artificial intelligence is a field of computer science that is capable of analyzing complex medical data. Objectives: To describe the awareness and Perception of uses of artificial intelligence among providers in Medical health care settings. Methodology: Data was collected by a questionnaire filled by health care physicians in king Khaled University Hospital and King Saud Medical City in Riyadh. Results: Out of 105 participants, about 58% of those physicians were either denied access to AI or AI was not available in the facility where they work. Access to artificial intelligence was not statistically different among the three professional groups. About 51% of those physicians rarely or never use AI. Out of 105 (64%) of the doctors chose excellent to the relationship between acquaintance and attitudes towards the AI. (16%) of the physicians chose moderate and finally (20%) of them chose poor. Conclusion: There's no significant difference in the attitude and acquaintance of physicians towards Artificial intelligence in relation to their gender, categories or years of experience. Although most physicians have good acquaintance and attitude towards Artificial intelligence, unfortunately there's no proper accessibility to AI.
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页码:2191 / 2197
页数:7
相关论文
共 24 条
  • [1] Perspectives of Family Physicians on Computer-assisted Health-risk Assessments
    Ahmad, Farah
    Skinner, Harvey A.
    Stewart, Donna E.
    Levinson, Wendy
    [J]. JOURNAL OF MEDICAL INTERNET RESEARCH, 2010, 12 (02)
  • [2] Al-Khathaami AM, 2015, NEUROSCIENCES, V20, P27
  • [3] Becevic Mirna, 2015, Perspect Health Inf Manag, V12, p1c
  • [4] Facilitators and Barriers to Adopting Robotic-Assisted Surgery: Contextualizing the Unified Theory of Acceptance and Use of Technology
    BenMessaoud, Christine
    Kharrazi, Hadi
    MacDorman, Karl F.
    [J]. PLOS ONE, 2011, 6 (01):
  • [5] Public perceptions on robotic surgery, hospitals with robots, and surgeons that use them
    Boys, Joshua A.
    Alicuben, Evan T.
    DeMeester, Michael J.
    Worrell, Stephanie G.
    Oh, Daniel S.
    Hagen, Jeffrey A.
    DeMeester, Steven R.
    [J]. SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES, 2016, 30 (04): : 1310 - 1316
  • [6] Attitudes towards health-care robots in a retirement village
    Broadbent, Elizabeth
    Tamagawa, Rie
    Patience, Anna
    Knock, Brett
    Kerse, Ngaire
    Day, Karen
    MacDonald, Bruce A.
    [J]. AUSTRALASIAN JOURNAL ON AGEING, 2012, 31 (02) : 115 - 120
  • [7] Robotic technology in surgery: past, present, and future
    Camarillo, DB
    Krummel, TM
    Salisbury, JK
    [J]. AMERICAN JOURNAL OF SURGERY, 2004, 188 (4A) : 2S - 15S
  • [8] Marketing "smart" medical innovation: physicians' attitudes and intentions
    Carter, Ella
    [J]. INTERNATIONAL JOURNAL OF PHARMACEUTICAL AND HEALTHCARE MARKETING, 2008, 2 (04) : 307 - 320
  • [9] Investigating healthcare professionals' decisions to accept telemedicine technology: an empirical test of competing theories
    Chau, PYK
    Hu, PJH
    [J]. INFORMATION & MANAGEMENT, 2002, 39 (04) : 297 - 311
  • [10] Do physicians value decision support? A look at the effect of decision support systems on physician opinion
    Dreiseitl, S
    Binder, M
    [J]. ARTIFICIAL INTELLIGENCE IN MEDICINE, 2005, 33 (01) : 25 - 30