Evaluation of Knowledge, Attitudes, and Practices among Healthcare Professionals toward Role of Artificial Intelligence in Healthcare.

Q3 Medicine
Dharma Rao Vanamali, Himavathy K Gara, Venkata Anil Chandra Dronamraju
{"title":"Evaluation of Knowledge, Attitudes, and Practices among Healthcare Professionals toward Role of Artificial Intelligence in Healthcare.","authors":"Dharma Rao Vanamali, Himavathy K Gara, Venkata Anil Chandra Dronamraju","doi":"10.59556/japi.73.0909","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Artificial intelligence (AI) is transforming healthcare by enhancing diagnostics, treatment planning, and patient management. However, the successful integration of AI depends on healthcare professionals' (HCPs) knowledge, attitudes, and practices (KAP). The study aimed to evaluate the KAP of HCPs regarding the role of AI in healthcare. Additionally, the study aimed to identify key barriers, such as ethical concerns and technical limitations, that hinder AI adoption.</p><p><strong>Materials and methods: </strong>A cross-sectional study was conducted using an online structured questionnaire targeting doctors, medical students, and nurses. The survey, distributed <i>via</i> Google Forms, measured participants' demographics, KAPs regarding AI. Purposive and snowball sampling methods were employed to recruit a total of 350 participants.</p><p><strong>Results: </strong>A total of 350 participants completed the survey, with the majority being medical students (52%) and younger professionals aged 18-27 years (73.1%). AI's primary use was in diagnostics (71.1%), followed by treatment protocol development (45.4%) and drug development (33.1%). Most respondents rated their technical skills as low or very low, with medical students showing slightly higher proficiency compared to nurses and faculty members. Ethical concerns were prominent, with 46% of participants highlighting data privacy and security issues, followed by concerns about high costs (23.7%) and over-reliance on manual processes (16.6%). Significant differences were observed between professions: medical students and faculty were more open to AI's role in making critical decisions (60.98% and 61.94%, respectively) than nurses (29.41%). Additionally, 97% of nurses expressed willingness to undergo AI training compared to 86% of faculty and 82% of medical students. However, confidence in AI's ability to improve clinical outcomes was mixed, with 35.71% agreeing, 29.71% neutral, and 40% regularly using AI tools in practice.</p><p><strong>Conclusion: </strong>The findings highlight a positive attitude toward AI in healthcare, with substantial recognition of its benefits, especially in diagnostics. However, significant gaps in knowledge, technical skills, and awareness of ethical issues remain, particularly among nurses. Tailored education and training programs are needed to bridge these gaps and enhance AI readiness in healthcare practice.</p>","PeriodicalId":22693,"journal":{"name":"The Journal of the Association of Physicians of India","volume":"73 4","pages":"e6-e12"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of the Association of Physicians of India","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59556/japi.73.0909","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Artificial intelligence (AI) is transforming healthcare by enhancing diagnostics, treatment planning, and patient management. However, the successful integration of AI depends on healthcare professionals' (HCPs) knowledge, attitudes, and practices (KAP). The study aimed to evaluate the KAP of HCPs regarding the role of AI in healthcare. Additionally, the study aimed to identify key barriers, such as ethical concerns and technical limitations, that hinder AI adoption.

Materials and methods: A cross-sectional study was conducted using an online structured questionnaire targeting doctors, medical students, and nurses. The survey, distributed via Google Forms, measured participants' demographics, KAPs regarding AI. Purposive and snowball sampling methods were employed to recruit a total of 350 participants.

Results: A total of 350 participants completed the survey, with the majority being medical students (52%) and younger professionals aged 18-27 years (73.1%). AI's primary use was in diagnostics (71.1%), followed by treatment protocol development (45.4%) and drug development (33.1%). Most respondents rated their technical skills as low or very low, with medical students showing slightly higher proficiency compared to nurses and faculty members. Ethical concerns were prominent, with 46% of participants highlighting data privacy and security issues, followed by concerns about high costs (23.7%) and over-reliance on manual processes (16.6%). Significant differences were observed between professions: medical students and faculty were more open to AI's role in making critical decisions (60.98% and 61.94%, respectively) than nurses (29.41%). Additionally, 97% of nurses expressed willingness to undergo AI training compared to 86% of faculty and 82% of medical students. However, confidence in AI's ability to improve clinical outcomes was mixed, with 35.71% agreeing, 29.71% neutral, and 40% regularly using AI tools in practice.

Conclusion: The findings highlight a positive attitude toward AI in healthcare, with substantial recognition of its benefits, especially in diagnostics. However, significant gaps in knowledge, technical skills, and awareness of ethical issues remain, particularly among nurses. Tailored education and training programs are needed to bridge these gaps and enhance AI readiness in healthcare practice.

医疗保健专业人员对人工智能在医疗保健中的作用的知识、态度和实践的评估。
背景:人工智能(AI)正在通过加强诊断、治疗计划和患者管理来改变医疗保健。然而,人工智能的成功整合取决于医疗保健专业人员(hcp)的知识、态度和实践(KAP)。本研究旨在评估医护人员关于人工智能在医疗保健中的作用的KAP。此外,该研究旨在确定阻碍人工智能采用的关键障碍,如伦理问题和技术限制。材料和方法:采用在线结构化问卷对医生、医学生和护士进行横断面研究。该调查通过谷歌Forms发布,衡量了参与者的人口统计数据、与人工智能相关的kap。采用目的抽样法和滚雪球抽样法,共招募了350名参与者。结果:共有350名参与者完成了调查,其中大多数是医学院学生(52%)和18-27岁的年轻专业人员(73.1%)。人工智能的主要用途是诊断(71.1%),其次是治疗方案开发(45.4%)和药物开发(33.1%)。大多数应答者认为他们的技术技能很低或很低,与护士和教员相比,医学生的熟练程度略高。道德问题非常突出,46%的参与者强调了数据隐私和安全问题,其次是高成本(23.7%)和过度依赖人工流程(16.6%)。不同职业之间存在显著差异:医学生和教师对人工智能在关键决策中的作用(分别为60.98%和61.94%)比护士(29.41%)更开放。此外,97%的护士表示愿意接受人工智能培训,而86%的教师和82%的医学生表示愿意接受人工智能培训。然而,对人工智能改善临床结果的能力的信心参差不齐,35.71%的人同意,29.71%的人持中立态度,40%的人在实践中经常使用人工智能工具。结论:研究结果表明,人们对人工智能在医疗保健领域的应用持积极态度,并充分认识到人工智能的好处,尤其是在诊断方面。然而,在知识、技术技能和道德问题意识方面仍然存在重大差距,特别是在护士中。需要量身定制的教育和培训计划来弥合这些差距,并提高人工智能在医疗保健实践中的准备程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
0.80
自引率
0.00%
发文量
509
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信