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护士的数据素养和数据科学素养:最先进的文献评论
Mikyoung Lee1, Pankaj Vyas2, Fabio D'Agostino3
1Texas Woman's University, Dallas, TX, USA.
Studies in health technology and informatics
|July 25, 2024
概括
护士需要更好的数据素养和数据科学技能来实现现代医疗保健. 这项研究澄清了这些技能,并确定了护士教育和评估工具的差距.
科学领域:
- 医疗保健信息学 医疗保健信息学
- 护理教育 护理教育
- 数据科学应用数据科学应用
背景情况:
- 医疗保健行业越来越多地依赖数据做出决策,改善患者的治疗结果.
- 护士需要提高数据素养和数据科学素养,才能有效利用医疗数据.
- 目前对护士所需的数据能力的理解不足.
研究的目的:
- 在护理环境中区分数据素养和数据科学素养.
- 探索在护理教育,研究和实践中发展这些能力的策略.
- 识别护理数据科学素养现有框架和评估工具中的差距.
主要方法:
- 进行了最先进的文献综述.
- 分析了22篇学术文章和6篇医疗保健行业资源.
- 综合了与护理数据和数据科学素养相关的关键主题和能力.
主要成果:
- 在护理方面,数据素养和数据科学素养之间确立了明确的区别.
- 建议将这些能力整合到护理课程和实践中的战略.
- 报告指出,缺乏全面的框架和验证的评估工具.
- 突出了发展和评估护理数据科学能力的未来研究方向.
结论:
- 护士需要特定的数据素养和数据科学素养技能才能在现代医疗保健中壮成长.
- 对于构建这些能力的结构化教育计划和评估工具有着至关重要的需求.
- 进一步发展这一领域对于推进基于证据的护理实践和研究至关重要.
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