[护理教育的未来:学习人工智能的必要要素和实施策略]
Cheng-Pei Lin1, Yu-Chi Chen2, Lu-Yen Anny Chen3
1PhD, RN, Assistant Professor, Institute of Community Health Care, National Yang Ming Chiao Tung University, Taiwan, ROC.
人工智能 (AI) 可以提高医疗保健质量,并指导未来的方向. 护理教育必须整合人工智能技能,为学生准备在患者护理中使用先进技术.
科学领域:
- 医疗保健技术 技术 医疗保健 技术
- 护理教育 护理教育
- 人工智能应用程序 人工智能应用程序
背景情况:
- 人口老龄化和疾病复杂性增加对资源有限的医疗保健系统构成了挑战.
- 人工智能 (AI) 为提高临床护理质量和优化医疗保健系统工作流程提供解决方案.
- 目前的护理教育并没有跟上人工智能的进步,造成了基本技能上的差距.
研究的目的:
- 突出AI在临床护理方面的潜力.
- 强调将人工智能纳入护理教育和临床实践的必要性.
- 倡导为护理学生提供人工智能知识和应用技能.
主要方法:
- 审查医疗保健中的AI能力,包括调查,整合,学习,预测和决策.
- 在临床环境中对人工智能采用当前趋势的分析.
- 评估护士教育在AI整合方面的滞后情况.
主要成果:
- 人工智能显示出改善患者护理质量和简化医疗保健运营的巨大潜力.
- 人工智能应用越来越多地用于增强临床护理和优化工作流程.
- 在护理教育中存在一个关键的差距,涉及到人工智能知识和实践技能.
结论:
- 将人工智能纳入护理课程和临床实习是适应技术进步的关键.
- 在人工智能中培训护理学生对于有效和安全地提供高质量的护理护理至关重要.
- 在护理教育中积极采用人工智能将塑造医疗保健的未来.
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