评估和提高护理本科生的信息学能力,使用混合多标准决策模型
Chao Liu1, YouYou Hong2, Wei-Ling Hu3
1Shenzhen Dapeng New District Medical and Health Group, Shenzhen, China.
BMC medical education
|December 21, 2024
概括
护理学生需要增强的信息学能力,以确保患者的安全,特别是在COVID-19后. 这项研究开发了一个模型来评估和改进这些技能,强调信息技能对于有效的护理实践至关重要.
科学领域:
- 护理信息学 护理信息学
- 健康 职业 教育 教育 专业
- 医疗保健中的信息系统
背景情况:
- 护理人员越来越多地遇到患者共享的在线健康数据,这一趋势在COVID-19大流行期间得到了放大.
- 培养护士学生的信息学能力对于安全的患者护理和有效的信息管理至关重要.
- 现有的研究评估和提高护理学生的信息学能力是有限的.
研究的目的:
- 为护理信息学能力提供一个精细的评估模型.
- 为提高本科护理学生的信息技术技能提供有针对性的策略.
- 支持护理教育工作者在课程开发和学生评估.
主要方法:
- 采用了横截面研究设计.
- 构建了一个混合的多标准决策模型,集成了分析层次过程 (AHP) 和VIKOR-AS方法.
- 从22名经验丰富的护士收集数据,这些护士在中国一家医院监督本科生.
主要成果:
- "技能"维度获得了最高的权重,突出了实际信息学应用的重要性.
- 关键标准包括解释患者安全的信息管理策略,使用患者安全的IT工具 (例如,腕带扫描),并认识到IT在临床决策中的作用.
- 学生E在信息学能力评估中表现最高.
结论:
- 开发的模型解决了护理学生当前信息学能力评估的局限性.
- 优先发展信息技能,知识和态度对于护理信息学教育至关重要.
- 这些发现为护理学院改进课程和培训教师提供了宝贵的参考.
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