通讯作者: 梁皖皖, 405755457@qq.com

DOI：10.12201/bmr.202601.00048

Research progress on the application scenarios of artificial intelligence technology in nursing under the background of digital empowerment

• 摘要：在数字技术加速赋能各领域的背景下,人工智能与护理场景的深度融合成为提升医疗服务效率与质量的重要方向。本文系统综述数字赋能背景下人工智能技术护理应用场景研究进展,聚焦护理决策支持系统、患者监测与预警系统、护理辅助机器人等核心场景,分析了多维多源数据特征挖掘技术、多模型集成的复杂泛化算法技术、全生命周期设备管理的虚拟现实技术等在生命体征实时监控、护理方案优化、慢性病管理、智能健康宣教等具体应用中的实践进展与成效。研究表明,人工智能技术能够缓解护理人力资源压力,提升护理服务的精细化与智能化水平,但同时也面临数据安全与隐私保护、技术伦理规范等挑战,未来需进一步推动人工智能在护理场景中的规范化、人性化应用,更好地满足老龄化社会对高质量护理服务的需求。

  关键词： 数字赋能; 人工智能; 护理场景; 医疗服务; 技术应用; 综述

   

  Abstract: Against the backdrop of digital technology accelerating the empowerment of various fields, the deep integration of artificial intelligence and nursing scenarios has become an important direction to the efficiency and quality of medical services. This article systematically reviews the research progress on the application scenarios of artificial intelligence technology in nursing under the background of digital empowerment, focusing on the scenarios such as nursing decision support system, patient monitoring and early warning system, and nursing auxiliary robots. The practical progress and effects of multi-dimensional and multi-source data feature mining, multi-model integrated complex generalization algorithm technology, and virtual reality technology in the whole life cycle equipment management in specific applications such as real-time monitoring of vital signs, optimization of schemes, chronic disease management, and intelligent health education are analyzed. The study shows that artificial intelligence technology can alleviate the pressure of nursing human resources and improve the fine and intelligent level nursing services, but it also faces challenges such as data security and privacy protection, and technical ethics norms. In the future, it is necessary to further promote the standardized and humanized of artificial intelligence in nursing scenarios to better meet the needs of aging society for high-quality nursing services.

  Key words: Digital empowerment; Artificial intelligence; Care scenarios; Medical services; Technological application; Review

  提交时间：2026-01-16

  版权声明：作者本人独立拥有该论文的版权，预印本系统仅拥有论文的永久保存权利。任何人未经允许不得重复使用。
• html

• 图表

• 张世红, 史森, 白玲, 杨小冉, 韩冬, 胡红濮. 人工智能在公共卫生应急管理的应用场景分析及挑战. 2025. doi: 10.12201/bmr.202511.00063

  孟冬晴, 吕文娟. 生成式人工智能赋能医学图书馆知识服务的路径研究. 2025. doi: 10.12201/bmr.202510.00039

  司唯, 徐婷, 林家玥, 曹文婷, 朱爱勇. 人工智能技术在老年认知症筛查中的应用现状. 2024. doi: 10.12201/bmr.202407.00048

  苏曼. 基于Citespace的数智化赋能基层医疗卫生服务研究热点分析. 2025. doi: 10.12201/bmr.202504.00034

  哈力木拉提·买买提, 马翔. “人工智能+医疗卫生”背景下心音与心血管疾病的研究进展. 2026. doi: 10.12201/bmr.202601.00055

  郑琰莉, 韩福海, 李舒玉, 苏文星. 人工智能大模型在医疗领域的应用现状与前景展望. 2023. doi: 10.12201/bmr.202312.00027

  赵锐, 石秀园, 钟雪然, 任平, 田雪晴, 刘春平, 游茂. 基于卫生技术评估构建医学人工智能技术临床应用评估路径的探讨. 2022. doi: 10.12201/bmr.202203.00005

  马傲, 葛小玲. 人工智能大模型在医疗健康领域应用的研究. 2024. doi: 10.12201/bmr.202408.00039

  史森中. 生成式人工智能（GAI）基层医疗应用风险及治理策略分析. 2024. doi: 10.12201/bmr.202408.00053

  胡博越, 史继红. 人工智能技术在医学图书馆应用的发展趋势与展望. 2025. doi: 10.12201/bmr.202505.00024

• 序号	提交日期	编号	操作
  2	2025-12-27	10.12201/bmr.202601.00048V2	下载
  1	2025-12-27	10.12201/bmr.202601.00048V1	下载

• 公开评论  匿名评论  仅发给作者 提交评论