从原始数据到公平数据:巴西结核病研究的公平化工作流程
Filipe Bernardi1, Vinicius Lima1, Gabriel Sartoretto1
1Ribeirão Preto Medical School, University of São Paulo, Brazil.
Studies in health technology and informatics
|June 30, 2023
概括
巴西结核病数据质量低,阻碍了研究和决策. 实施FAIR数据原则可以提高数据质量和加强健康信息系统,但目前的合规性很低.
科学领域:
- 公共卫生 公共卫生
- 传染病流行病学 传染病流行病学
- 医疗信息学 医疗信息学
背景情况:
- 人口健康数据的质量,可用性和整合性差,阻碍了有效的决策.
- 使用巴西结核病数据的研究面临着重大挑战,因为数据有限.
研究的目的:
- 突出巴西使用结核病数据进行研究的困难.
- 评估巴西结核信息系统是否符合FAIR数据原则.
主要方法:
- 该研究评估了巴西结核病信息系统.
- 根据FAIR (可查找,可访问,可互操作,可重复使用) 数据原则进行了评估.
主要成果:
- 巴西结核病信息系统的符合率很低,只有37.75%符合FAIR原则.
- 这些系统中的数据质量管理并没有系统地实施.
结论:
- 在巴西结核病信息系统中,有必要组织数据质量管理.
- 采用FAIR方法对于标准化数据和改善结核病信息共享至关重要.
- 加强国家卫生信息系统需要解决数据质量问题,克服系统的局限性.
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