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护理中的人工智能:对护士心理健康和患者护理质量的技术益处。

Artificial Intelligence in Nursing: Technological Benefits to Nurse's Mental Health and Patient Care Quality.

作者信息

Dailah Hamad Ghaleb, Koriri Mahdi, Sabei Alhussean, Kriry Turky, Zakri Mohammed

机构信息

College of Nursing and Health Sciences, Jazan University, Jazan 45142, Saudi Arabia.

出版信息

Healthcare (Basel). 2024 Dec 18;12(24):2555. doi: 10.3390/healthcare12242555.

DOI:10.3390/healthcare12242555
PMID:39765983
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11675209/
Abstract

Nurses are frontline caregivers who handle heavy workloads and high-stakes activities. They face several mental health issues, including stress, burnout, anxiety, and depression. The welfare of nurses and the standard of patient treatment depends on resolving this problem. Artificial intelligence is revolutionising healthcare, and its integration provides many possibilities in addressing these concerns. This review examines literature published over the past 40 years, concentrating on AI integration in nursing for mental health support, improved patient care, and ethical issues. Using databases such as PubMed and Google Scholar, a thorough search was conducted with Boolean operators, narrowing results for relevance. Critically examined were publications on artificial intelligence applications in patient care ethics, mental health, and nursing and mental health. The literature examination revealed that, by automating repetitive chores and improving workload management, artificial intelligence (AI) can relieve mental health challenges faced by nurses and improve patient care. Practical implications highlight the requirement of using rigorous implementation strategies that address ethical issues, data privacy, and human-centred decision-making. All changes must direct the integration of artificial intelligence in nursing to guarantee its sustained and significant influence on healthcare.

摘要

护士是一线护理人员,承担着繁重的工作量和高风险的工作任务。他们面临着一些心理健康问题,包括压力、职业倦怠、焦虑和抑郁。护士的福祉以及患者的治疗水平取决于能否解决这个问题。人工智能正在给医疗保健带来变革,其融入为解决这些问题提供了诸多可能性。这篇综述考察了过去40年发表的文献,重点关注人工智能在护理中的融入,以提供心理健康支持、改善患者护理以及探讨伦理问题。通过使用PubMed和谷歌学术等数据库,运用布尔运算符进行了全面搜索,筛选出相关结果。对有关人工智能在患者护理伦理、心理健康以及护理与心理健康方面应用的出版物进行了批判性审查。文献审查表明,通过自动化重复性工作并改善工作量管理,人工智能可以缓解护士面临的心理健康挑战并改善患者护理。实际意义强调了采用严格实施策略的必要性,这些策略要解决伦理问题、数据隐私和以人为本的决策。所有变革都必须引导人工智能在护理中的融入,以确保其对医疗保健产生持续且重大的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09a4/11675209/5d2c77b4ebe9/healthcare-12-02555-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09a4/11675209/f438e2f92882/healthcare-12-02555-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09a4/11675209/8294e1fe601a/healthcare-12-02555-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09a4/11675209/5d2c77b4ebe9/healthcare-12-02555-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09a4/11675209/f438e2f92882/healthcare-12-02555-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09a4/11675209/8294e1fe601a/healthcare-12-02555-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09a4/11675209/5d2c77b4ebe9/healthcare-12-02555-g003.jpg

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