为护士科学家理解大数据的指南:一个辩论性的论文
Henry Ofori Duah1, Samantha Boch1,2, Sara Arter3
1College of Nursing, University of Cincinnati, Cincinnati, Ohio, USA.
Nursing inquiry
|June 12, 2024
概括
护士科学家可以使用大数据来产生新的患者护理假设. 本指南探讨了护理研究中的大数据的实用,伦理和教育方面.
科学领域:
- 护理科学 护理科学
- 医疗信息学 医疗信息学
- 数据科学数据科学数据科学
背景情况:
- 大数据以体积,速度,多样性和真实性为特征,为医疗保健研究提供了重大机会.
- 护士科学家处于战略地位,可以利用大数据在患者护理和医疗保健系统中产生新的假设.
- 了解大数据的影响对于推动护理科学的发展至关重要.
研究的目的:
- 为护士科学家提供关于大数据的使用和能力的入门指南.
- 讨论大数据在护理研究中的实际,道德,社会和教育影响.
主要方法:
- 本文提供了护理研究中的大数据的概念概述和讨论.
- 它解决了与大数据利用相关的挑战和机遇.
- 审查了包括保密性,匿名性和自主性在内的伦理考虑.
主要成果:
- 实际挑战包括数据的可访问性,质量,标准化和碎片化.
- 伦理辩论涉及到平衡数据实用性与患者隐私和自主性.
- 强调了健康公平的维度和数据公平的必要性.
结论:
- 高级护理教育课程应整合大数据能力.
- 护士科学家必须积极参与,作为合作者和政策驱动者,利用大数据.
- 接受大数据对于护理科学的进化至关重要.
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