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加拿大社区卫生护士对人工智能的知识和看法:全国跨部门调查
Mary Henderson Betkus1, Davina Banner1, Leanne Currie2
1School of Nursing, University of Northern British Columbia, 3333 University Way, Prince George, BC, V2N 4Z9, Canada, 1 250-613-7507.
JMIR nursing
|January 23, 2026
概括
具有良好的人工智能 (AI) 知识的社区卫生护士 (CHN) 报告说,他们在医疗保健中对AI的看法更为有利. 建议提供教育资源,以增加CHN的舒适性和参与人工智能技术.
科学领域:
- 护理信息学 在护理信息学.
- 卫生技术的采用 卫生技术的采用
- 医疗保健中的人工智能
背景情况:
- 人工智能 (AI) 越来越多地被整合到医疗保健中,有风险预测和可穿戴设备等应用.
- 人工智能开发通常由非护士领导,可能与注册护士 (RN) 的需求不一致.
- 社区卫生护士 (CHN) 对人工智能的认识和看法在很大程度上仍未被探索.
研究的目的:
- 评估社区卫生护士 (CHN) 对人工智能 (AI) 的认识和知识.
- 了解CHN对AI对其实践的影响的看法.
- 确定更好地让CHN参与AI开发和实施的策略.
主要方法:
- 在2023年4月至7月期间,向加拿大社区卫生护士 (CHN) 分发了一项在线横截面调查.
- 使用描述性统计数据来总结受访者特征和AI感知.
- 奇平方测试和几率比率 (OR) 分析了AI知识水平和感知之间的关系.
主要成果:
- 在228名CHN参与者中,56.8%的人表示对AI的理解"不好",39.6%的人对AI开发感到不舒服.
- 拥有"良好的"人工智能知识的护士认为人工智能对护理和医疗保健具有革命性的可能性是两倍 (P=.007).
- 对人工智能建议的专业问责制的担忧是普遍存在的 (77.7%接受错误建议,73.8%拒绝正确建议).
结论:
- 增强的人工智能知识与社区卫生护士 (CHN) 之间更积极的看法有关.
- 解决专业问题和提供教育资源可以提高CHN的舒适性和AI的整合.
- 需要进行进一步的研究,以探索最佳方法,以让CHN参与AI在他们的实践中的实施.
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