医疗保健中的人工智能:对医疗专业人员的接受程度和实施中的机构挑战进行全面审查
Latifun Nesa1, Moustaq Karim Khan Rony2, Sharmin Chowdhury3
1Master of Science in Nursing, National Institute of Advanced Nursing Education and Research Mugda, Dhaka, Bangladesh.
Journal of evaluation in clinical practice
|June 29, 2025
概括
医疗专业人员在医疗保健中对人工智能 (AI) 的接受程度各不相同. 克服基础设施和培训等制度障碍是成功整合人工智能的关键.
科学领域:
- 医疗保健技术 医疗保健技术 医疗保健技术
- 医疗信息学医学信息学
- 医学中的人工智能
背景情况:
- 人工智能 (AI) 正在迅速推进医疗保健,为诊断,治疗和患者护理提供潜在的改进.
- 了解医疗专业的接受和机构挑战对于有效的AI实施至关重要.
研究的目的:
- 对医疗专业人员对人工智能的接受进行范围审查.
- 识别阻碍在医疗保健中广泛实施人工智能的制度障碍.
主要方法:
- 进行了2015-2025年同行评审文章的范围审查.
- 在PubMed,Scopus和IEEE Xplore进行了关于人工智能采用,接受和挑战的研究的搜索.
- 数据被提取并进行主题分析,以发现人工智能接受和实施障碍.
主要成果:
- 在诊断成像和行政任务中,人工智能由于效率和准确性而受到高度接受.
- 预测模型和临床决策支持系统因对解释性和信任的担忧而面临谨慎的接待.
- 关键的机构障碍包括基础设施不足,电子健康记录整合问题,财务限制,培训缺口和监管不确定性.
结论:
- 在医疗保健中成功采用人工智能需要解决人类因素和系统挑战.
- 提高人工智能素养,投资基础设施和建立明确的监管框架对于克服阻力至关重要.
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