沙特阿拉伯吉达私立综合医院医护人员对人工智能的认知、态度和实践

IF 1.8 Q2 EDUCATION, SCIENTIFIC DISCIPLINES Advances in Medical Education and Practice Pub Date : 2024-04-05 DOI:10.2147/amep.s448422
Suhail Hasan Serbaya, Adeel Ahmed Khan, Saud Hasan Surbaya, Safar Majhood Alzahrani
{"title":"沙特阿拉伯吉达私立综合医院医护人员对人工智能的认知、态度和实践","authors":"Suhail Hasan Serbaya, Adeel Ahmed Khan, Saud Hasan Surbaya, Safar Majhood Alzahrani","doi":"10.2147/amep.s448422","DOIUrl":null,"url":null,"abstract":"<strong>Purpose:</strong> The objective of our study was to assess awareness, attitudes, and practices regarding artificial intelligence (AI) among healthcare workers in private polyclinics in Jeddah, Saudi Arabia.<br/><strong>Methods:</strong> We conducted cross-sectional study among healthcare workers in private clinics in Jeddah. Data was collected using a structured, validated questionnaire in Arabic and English on awareness, attitudes, and behaviors regarding AI. Cronbach’s alpha for the questionnaire ranged from 0.6 to 0.8. Descriptive and bivariate analysis was done to assess the scores and their association of various sociodemographic variables with awareness, attitudes, and behaviors regarding AI. Multiple linear regression was performed to predict the scores of awareness, attitudes, and behaviors based on the sociodemographic variables.<br/><strong>Results:</strong> We recruited 361 participants for this study. Approximately, 62% of the healthcare workers were female. The majority (36%) of healthcare workers were nurses, while 25% were physicians. The median awareness, attitude, and behavioral scores were 5/6 (IQR 3– 6), 5/8 (IQR 4– 7), and 0/3 (IQR 0), respectively. Approximately three-fourths (74%) of the healthcare workers believed that they understood the basic computational principles of AI. Only half of the participants were willing to use AI when making future medical decisions. We found that male healthcare workers had better knowledge scores regarding AI as compared to female healthcare workers (Beta = 0.555, 95%, p value = 0.010), while for attitude scores, being administrative employee as compared to other employees was found to have negative attitude towards AI (Beta = 0.049, 95%, p value = 0.03).<br/><strong>Conclusion:</strong> We found that healthcare workers had an overall good awareness and optimistic attitude toward AI. Despite this, the majority is worried about the potential consequences of replacing their jobs with AI in the future. There is a dire need to educate and sensitize healthcare workers regarding the potential impact of AI on healthcare.<br/><br/><strong>Keywords:</strong> artificial intelligence, awareness, attitude, practice, healthcare workers, Saudi Arabia","PeriodicalId":47404,"journal":{"name":"Advances in Medical Education and Practice","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Knowledge, Attitude and Practice Toward Artificial Intelligence Among Healthcare Workers in Private Polyclinics in Jeddah, Saudi Arabia\",\"authors\":\"Suhail Hasan Serbaya, Adeel Ahmed Khan, Saud Hasan Surbaya, Safar Majhood Alzahrani\",\"doi\":\"10.2147/amep.s448422\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<strong>Purpose:</strong> The objective of our study was to assess awareness, attitudes, and practices regarding artificial intelligence (AI) among healthcare workers in private polyclinics in Jeddah, Saudi Arabia.<br/><strong>Methods:</strong> We conducted cross-sectional study among healthcare workers in private clinics in Jeddah. Data was collected using a structured, validated questionnaire in Arabic and English on awareness, attitudes, and behaviors regarding AI. Cronbach’s alpha for the questionnaire ranged from 0.6 to 0.8. Descriptive and bivariate analysis was done to assess the scores and their association of various sociodemographic variables with awareness, attitudes, and behaviors regarding AI. Multiple linear regression was performed to predict the scores of awareness, attitudes, and behaviors based on the sociodemographic variables.<br/><strong>Results:</strong> We recruited 361 participants for this study. Approximately, 62% of the healthcare workers were female. The majority (36%) of healthcare workers were nurses, while 25% were physicians. The median awareness, attitude, and behavioral scores were 5/6 (IQR 3– 6), 5/8 (IQR 4– 7), and 0/3 (IQR 0), respectively. Approximately three-fourths (74%) of the healthcare workers believed that they understood the basic computational principles of AI. Only half of the participants were willing to use AI when making future medical decisions. We found that male healthcare workers had better knowledge scores regarding AI as compared to female healthcare workers (Beta = 0.555, 95%, p value = 0.010), while for attitude scores, being administrative employee as compared to other employees was found to have negative attitude towards AI (Beta = 0.049, 95%, p value = 0.03).<br/><strong>Conclusion:</strong> We found that healthcare workers had an overall good awareness and optimistic attitude toward AI. Despite this, the majority is worried about the potential consequences of replacing their jobs with AI in the future. There is a dire need to educate and sensitize healthcare workers regarding the potential impact of AI on healthcare.<br/><br/><strong>Keywords:</strong> artificial intelligence, awareness, attitude, practice, healthcare workers, Saudi Arabia\",\"PeriodicalId\":47404,\"journal\":{\"name\":\"Advances in Medical Education and Practice\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Medical Education and Practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2147/amep.s448422\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"EDUCATION, SCIENTIFIC DISCIPLINES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Medical Education and Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2147/amep.s448422","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EDUCATION, SCIENTIFIC DISCIPLINES","Score":null,"Total":0}
引用次数: 0

摘要

目的:我们的研究旨在评估沙特阿拉伯吉达市私立综合诊所的医护人员对人工智能(AI)的认识、态度和实践:我们对吉达私立诊所的医护人员进行了横断面研究。我们使用结构化、经过验证的阿拉伯语和英语问卷收集数据,内容涉及对人工智能的认识、态度和行为。问卷的 Cronbach's alpha 值在 0.6 到 0.8 之间。通过描述性分析和双变量分析,评估了各种社会人口变量的得分及其与人工智能意识、态度和行为之间的关联。根据社会人口学变量进行了多元线性回归,以预测认识、态度和行为的得分:本研究招募了 361 名参与者。约 62% 的医护人员为女性。大多数医护人员(36%)是护士,25%是医生。认知、态度和行为得分的中位数分别为 5/6 (IQR 3- 6)、5/8 (IQR 4- 7) 和 0/3 (IQR 0)。大约四分之三(74%)的医疗工作者认为他们了解人工智能的基本计算原理。只有一半的参与者愿意在未来的医疗决策中使用人工智能。我们发现,与女性医护人员相比,男性医护人员的人工智能知识得分更高(Beta = 0.555,95%,P 值 = 0.010),而在态度得分方面,与其他员工相比,行政人员对人工智能持消极态度(Beta = 0.049,95%,P 值 = 0.03):我们发现,医护人员对人工智能的总体认识良好,态度乐观。尽管如此,大多数人还是担心未来人工智能取代他们工作的潜在后果。亟需就人工智能对医疗保健的潜在影响对医护人员进行教育和宣传。关键词:人工智能、认识、态度、实践、医护人员、沙特阿拉伯
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Knowledge, Attitude and Practice Toward Artificial Intelligence Among Healthcare Workers in Private Polyclinics in Jeddah, Saudi Arabia
Purpose: The objective of our study was to assess awareness, attitudes, and practices regarding artificial intelligence (AI) among healthcare workers in private polyclinics in Jeddah, Saudi Arabia.
Methods: We conducted cross-sectional study among healthcare workers in private clinics in Jeddah. Data was collected using a structured, validated questionnaire in Arabic and English on awareness, attitudes, and behaviors regarding AI. Cronbach’s alpha for the questionnaire ranged from 0.6 to 0.8. Descriptive and bivariate analysis was done to assess the scores and their association of various sociodemographic variables with awareness, attitudes, and behaviors regarding AI. Multiple linear regression was performed to predict the scores of awareness, attitudes, and behaviors based on the sociodemographic variables.
Results: We recruited 361 participants for this study. Approximately, 62% of the healthcare workers were female. The majority (36%) of healthcare workers were nurses, while 25% were physicians. The median awareness, attitude, and behavioral scores were 5/6 (IQR 3– 6), 5/8 (IQR 4– 7), and 0/3 (IQR 0), respectively. Approximately three-fourths (74%) of the healthcare workers believed that they understood the basic computational principles of AI. Only half of the participants were willing to use AI when making future medical decisions. We found that male healthcare workers had better knowledge scores regarding AI as compared to female healthcare workers (Beta = 0.555, 95%, p value = 0.010), while for attitude scores, being administrative employee as compared to other employees was found to have negative attitude towards AI (Beta = 0.049, 95%, p value = 0.03).
Conclusion: We found that healthcare workers had an overall good awareness and optimistic attitude toward AI. Despite this, the majority is worried about the potential consequences of replacing their jobs with AI in the future. There is a dire need to educate and sensitize healthcare workers regarding the potential impact of AI on healthcare.

Keywords: artificial intelligence, awareness, attitude, practice, healthcare workers, Saudi Arabia
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Advances in Medical Education and Practice
Advances in Medical Education and Practice EDUCATION, SCIENTIFIC DISCIPLINES-
CiteScore
3.10
自引率
10.00%
发文量
189
审稿时长
16 weeks
期刊最新文献
Developing and Validating Entrustable Professional Activities (EPAs) for Rheumatology Fellowship Training Programs in Saudi Arabia: A Delphi Study Students’ Perception of Peer- Students Mentoring Program “Big Sibling Mentoring Program” to Complement Faculty Mentoring of First-Year Medical Students in Saudi Arabia Incorporating Technology Adoption in Medical Education: A Qualitative Study of Medical Students’ Perspectives [Letter] Development, Implementation, and Assessment of an Online Modular Telehealth Curriculum for Health Professions Students [Letter] Competency of Nurses on Electrocardiogram Monitoring and Interpretation in Selected Hospitals of Al-Ahsa, Saudi Arabia
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1