导航人工智能在护理实践中的整合挑战:一个整合性的文献评论
Mohammed Qutishat1, Lina Shakman2
1Department of Community and Mental Health, College of Nursing, Sultan Qaboos University, Muscat, Sultanate of Oman.
International nursing review
|July 21, 2025
概括
在护理领域采用人工智能 (AI) 的障碍包括缺乏培训,对变化的抵抗和数据问题. 克服这些对人工智能来说至关重要,以提高患者护理和效率.
科学领域:
- 护理信息学 护理信息学
- 医疗保健技术采用 医疗保健技术采用
- 医疗保健中的人工智能
背景情况:
- 人工智能 (AI) 在护理实践中的整合为改善患者护理提供了巨大的潜力.
- 然而,由于护士职业内的众多挑战,目前广泛采用目前受到阻碍.
研究的目的:
- 系统地审查和综合现有关于护士在采用人工智能技术时遇到的障碍的文献.
- 识别和分析阻碍人工智能在护理实践中有效实施的关键挑战.
主要方法:
- 进行了全面的文献审查,涵盖了2015年至2024年间发表的研究.
- 通过广泛的数据库搜索,选择了19项相关研究,并进行了主题分析.
主要成果:
- 确定了九个主要挑战,包括培训和教育不足,对变革的抵制以及数据隐私方面的担忧.
- 其他重大障碍包括整合困难,高成本,有限的技术接入以及监管和道德困境.
- 这些相互关联的因素共同阻碍了人工智能在护理中的成功整合.
结论:
- 通过有针对性的培训,基础设施开发和明确的伦理准则来解决已识别的障碍,对于成功实施人工智能至关重要.
- 积极的战略对于优化人工智能集成,提高护理护理质量和提高运营效率至关重要.
- 对网络安全和监管框架的投资对于道德的人工智能使用和护理中保护患者数据至关重要.
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