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Current Trends in Nursing II01:30

Current Trends in Nursing II

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Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
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Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
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Current trends in nursing include:
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相关实验视频

Updated: Jan 10, 2026

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
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Published on: September 26, 2025

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支持护士临床决策的人工智能技术:系统审查

Kristina Mikkonen1,2, Saara Tuunainen1, Anne Oikarinen1,2

  • 1Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland.

Journal of clinical nursing
|November 26, 2025
PubMed
概括

人工智能 (AI) 工具显著增强护士的临床决策,改善患者护理和工作流程效率. 这项技术解决了护理方面的挑战,如人员短缺和工作量,促进了更好的患者结果.

关键词:
人工智能工具的可用性可用性.人工智能的人工智能是人工智能.在护理决策过程中.系统性审查 系统性审查

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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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相关实验视频

Last Updated: Jan 10, 2026

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科学领域:

  • 护理信息学 护理信息学
  • 医疗保健中的人工智能
  • 临床决策支持系统 临床决策支持系统

背景情况:

  • 越来越多的医疗保健需求需要技术来支持护士的决策.
  • 人工智能 (AI) 为改善护理实践和患者护理提供了重大机会.
  • 系统地实施人工智能是实现其在医疗保健中的潜力的关键.

研究的目的:

  • 识别和描述护士用于临床决策的AI技术.
  • 评估人工智能对护理实践和患者结果的影响.

主要方法:

  • 2005年至2024年间发表的实验研究的系统文献综述.
  • 在CINAHL,PubMed,Scopus,ProQuest和Medic数据库中进行的搜索.
  • 使用JBI指南评估研究的资格和质量,并对研究结果进行叙事分析.

主要成果:

  • 八项研究表明,人工智能工具改善了决策,患者护理和员工表现.
  • 人工智能应用显示,重新入院的病例显著减少,患者病情恶化的反应时间改善,新生儿复苏的准确性提高.
  • 人工智能还提高了对评估,压力预防,视觉差异化和文档质量的信心.

结论:

  • 将人工智能整合到护理中可以优化决策,提高患者护理质量,提高工作流程效率.
  • 解决透明度,偏见,数据隐私和问责制等伦理方面的考虑对于安全和值得信赖的AI实施至关重要.
  • 人工智能可以帮助缓解护理挑战,改善患者安全,并允许护士更多地专注于直接的患者护理.