工作量
心理健康
护理部
医疗保健
倦怠
质量(理念)
相关性(法律)
心理学
医学
计算机科学
精神科
政治学
经济
操作系统
认识论
经济增长
法学
临床心理学
哲学
作者
Hamad Ghaleb Dailah,Mahdi Dafer Koriri,Alhussean Sabei,Turky Kriry,Mohammed Zakri
出处
期刊:Healthcare
[Multidisciplinary Digital Publishing Institute]
日期:2024-12-18
卷期号:12 (24): 2555-2555
被引量:61
标识
DOI:10.3390/healthcare12242555
摘要
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.
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