在瘤护士中对生成人工智能实施的感知和准备:在一个专门的癌症医院进行定性研究
Jiyoung Han1, Kum Hei Ryu2, Meeyoung Kim3
1National Cancer Center, Goyang 10408, South Korea.
Asian nursing research
|December 15, 2025
概括
护士认为生成人工智能 (AI) 影响护理核心职责,带来诸如减少主动性和数据泄露等挑战. 成功整合的策略包括提高护士能力和建立明确的流程.
科学领域:
- 护理信息学 护理信息学
- 医疗保健技术 技术 医疗保健 技术
- 变更管理 变更管理
背景情况:
- 快速的技术进步需要医疗保健的变革管理.
- 生成型人工智能 (AI) 具有减轻护理工作负担的潜力.
- 目前对护理领域生成性人工智能的研究主要是探索性的,缺乏深入的管理影响.
研究的目的:
- 探索护士对癌症专科医院生成性AI应用的看法.
- 调查环境和上下文因素影响护理中生成人工智能采用.
- 了解生成人工智能对护理管理和变化过程的影响.
主要方法:
- 采用与护士进行深入采访的定性研究.
- 在韩国一家领先的癌症专科医院进行 (2024年7月至8月).
- 基于临床护理实践指南的问卷开发,有目的的抽样.
主要成果:
- 护士确定了基本护理,治疗干预,检查支持,感染控制和管理的变化管理因素.
- 确定的局限性包括护理主动性的潜在下降,患者关系挑战,个性化护理困难,信息泄露和问责问题.
- 关键的准备策略包括提高护士能力,确保法律保护,标准化流程和提高认识.
结论:
- 生成型人工智能为护理实践和管理提供了机会和挑战.
- 调查结果强调了需要战略规划和加强护士准备人工智能集成的必要性.
- 影响为学术话语和护理中生成人工智能的实际实施提供了基础.
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