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人工智能强化计划对医疗保健提供者的知识、态度和工作场所繁荣的影响。

The impact of an artificial intelligence enhancement program on healthcare providers' knowledge, attitudes, and workplace flourishing.

作者信息

Nofal Hanaa A, Mohamed Amal E, Almadani Noura, Mahfouz Rasha, Bahri Hibah Abdulrahim, Ali Hossam Tharwat, Elrafey Dina S

机构信息

Community, Environmental, and Occupational Medicine Department, Faculty of Medicine, Zagazig University, Zagazig, Egypt.

Community and Psychiatric Mental Health Nursing Department, College of Nursing, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.

出版信息

Front Public Health. 2025 Aug 7;13:1639333. doi: 10.3389/fpubh.2025.1639333. eCollection 2025.


DOI:10.3389/fpubh.2025.1639333
PMID:40852647
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12367703/
Abstract

BACKGROUND: The integration of AI into healthcare influences healthcare providers' knowledge, attitudes, and workplace flourishing, grounded in key theoretical frameworks. Social cognitive theory suggests AI-enhanced programs may shape knowledge acquisition and decision-making. The Theory of Planned Behavior helps explain how perceptions of AI affect professional attitudes. Meanwhile, workplace flourishing aligns with positive organizational psychology, emphasizing autonomy and engagement factors potentially impacted by AI adoption. We aimed to examine the impact of artificial intelligence enhancement programs on the knowledge, attitudes, and workplace flourishing of healthcare providers. METHODS: The present study was a quasi-experimental study conducted on healthcare providers at Zagazig University Hospital. The data was gathered using a self-administered three-domain tool, including an artificial intelligence knowledge domain, general attitudes toward artificial intelligence domain, and a workplace flourishing domain. RESULTS: Regarding the artificial intelligence technologies knowledge, attitude, and flourishing at work scales, post-intervention scores of all domains showed a statistically significant increase compared to pre-intervention, with a percent increase in knowledge score, attitude, and flourishing at work score were 123.14, 74.28, and 10.63%, respectively. Post-intervention attitude score was significantly positively correlated with knowledge score ( = 0.001). In addition, age and years of experience were negatively correlated with changes in knowledge and attitude. CONCLUSION: Artificial intelligence training is essential for enhancing healthcare providers' knowledge and alleviating their concerns regarding its integration into healthcare. CLINICAL TRIAL REGISTRATION: Identifier PACTR202403647083094; https://pactr.samrc.ac.za/TrialDisplay.aspx?TrialID=27347.

摘要

背景:人工智能融入医疗保健会影响医疗保健提供者的知识、态度和工作场所的蓬勃发展,这基于关键的理论框架。社会认知理论表明,人工智能增强型项目可能会塑造知识获取和决策过程。计划行为理论有助于解释对人工智能的认知如何影响专业态度。同时,工作场所的蓬勃发展与积极组织心理学相一致,强调自主性和参与度等因素可能会受到人工智能采用的影响。我们旨在研究人工智能增强项目对医疗保健提供者的知识、态度和工作场所蓬勃发展的影响。 方法:本研究是在扎加齐格大学医院对医疗保健提供者进行的一项准实验研究。数据通过自我管理的三领域工具收集,包括人工智能知识领域、对人工智能的总体态度领域和工作场所蓬勃发展领域。 结果:关于人工智能技术知识、态度和工作蓬勃发展量表,与干预前相比,所有领域的干预后得分均有统计学意义的增加,知识得分、态度得分和工作蓬勃发展得分的百分比增加分别为123.14%、74.28%和10.63%。干预后态度得分与知识得分显著正相关( = 0.001)。此外,年龄和工作经验与知识和态度的变化呈负相关。 结论:人工智能培训对于提高医疗保健提供者的知识以及减轻他们对其融入医疗保健的担忧至关重要。 临床试验注册:标识符PACTR202403647083094;https://pactr.samrc.ac.za/TrialDisplay.aspx?TrialID=27347 。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4079/12367703/dd165ee57a49/fpubh-13-1639333-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4079/12367703/3212a0e33d2f/fpubh-13-1639333-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4079/12367703/dd165ee57a49/fpubh-13-1639333-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4079/12367703/3212a0e33d2f/fpubh-13-1639333-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4079/12367703/dd165ee57a49/fpubh-13-1639333-g002.jpg

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本文引用的文献

[1]
Medical students' knowledge, attitudes, and practices toward generative artificial intelligence in Egypt 2024: a Cross-Sectional study.

BMC Med Educ. 2025-5-28

[2]
Knowledge, attitude, and practice of primary care physicians toward clinical AI-assisted digital health technologies: Systematic review and meta-analysis.

Int J Med Inform. 2025-9

[3]
Creating Perinatal Nursing Care Plans Using ChatGPT: A Pathway to Improve Nursing Care Plans and Reduce Documentation Burden.

J Perinat Neonatal Nurs. 2025

[4]
Medical students and house officers' perception, attitude and potential barriers towards artificial intelligence in Egypt, cross sectional survey.

BMC Med Educ. 2024-10-31

[5]
Digital proficiency: assessing knowledge, attitudes, and skills in digital transformation, health literacy, and artificial intelligence among university nursing students.

BMC Med Educ. 2024-5-7

[6]
Using ChatGPT-4 to Create Structured Medical Notes From Audio Recordings of Physician-Patient Encounters: Comparative Study.

J Med Internet Res. 2024-4-22

[7]
Navigating the doctor-patient-AI relationship - a mixed-methods study of physician attitudes toward artificial intelligence in primary care.

BMC Prim Care. 2024-1-27

[8]
Attitudes, knowledge, and skills towards artificial intelligence among healthcare students: A systematic review.

Health Sci Rep. 2023-3-12

[9]
Physical Therapists' Knowledge and Attitudes Regarding Artificial Intelligence Applications in Health Care and Rehabilitation: Cross-sectional Study.

J Med Internet Res. 2022-10-20

[10]
Documentation Burden in Nursing and Its Role in Clinician Burnout Syndrome.

Appl Clin Inform. 2022-10

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