概括
护士研究人员可以通过适当的培训和支持来领导大数据项目,使用电子健康记录. 弥合数据科学教育差距对于成功的临床护士研究至关重要.
科学领域:
- 护理研究 护理研究
- 数据科学数据科学数据科学
- 医疗信息学 医疗信息学
背景情况:
- 护士研究人员越来越多地希望利用电子健康记录 (EHR) 的大数据.
- 由于目前护士数据科学教育和培训方面的差距,存在一个重要的障碍.
- 这限制了他们对以护士为中心的患者结果和临床指标进行研究的能力.
研究的目的:
- 在专门的计算实验室中评估护士领导的大数据研究项目的可行性.
- 为研究小组确定必要的支持结构,这些研究小组对大数据的经验有限.
主要方法:
- 四个由护士领导的团队使用EHR数据开发了研究问题.
- 每个团队都获得了一个虚拟的计算实验室与原始数据.
- 提供了数据科学技术和编码语言 (SQL,R) 的指导.
主要成果:
- 三个团队完成了研究,一个手稿正在同行评审中,两个正在进行中.
- 第四个团队目前正在分析他们的数据.
- 确定了大数据项目的五个关键障碍和五个促进者.
结论:
- 组织必须通过弥合数据科学教育差距来支持护士研究人员.
- 保护研究时间和强大的数据科学基础设施是必不可少的.
- 这包括对初学者研究人员的教育,指导和计算资源.
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