健康研究中的数据质量:整合性文献综述
Filipe Andrade Bernardi1, Domingos Alves1, Nathalia Crepaldi1
1Ribeirão Preto School of Medicine, University of Sao Paulo, Ribeirão Preto, Brazil.
Journal of medical Internet research
|October 31, 2023
概括
可靠的健康数据对于决策和改善医疗保健服务至关重要. 本次审查确定了增强健康研究数据质量的数字健康技术,强调了对标准化实践的需求.
科学领域:
- 医疗信息学 医疗信息学
- 数据科学数据科学数据科学
- 公共卫生研究 公共卫生研究
背景情况:
- 可靠的健康数据对于基于证据的决策和服务提供改进至关重要.
- 数据质量管理确保收集的健康信息的完整性和可靠性.
- 科学研究的进步旨在提高数据质量,可复制性和安全的数据共享.
结论:
- 阻碍健康数据质量的障碍是多方面的,包括技术,经济,道德和组织因素.
- 从收集到分析的数据质量流程对于研究成果和医疗保健决策至关重要.
- 标准化实践和协作努力是必要的,以提高健康数据的质量.
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