国家健康老龄化中心数据平台:从医院电子健康记录系统开发核心研究数据集:修改后的Delphi方法
Emily Mann1, Kim Naude1, Tanya Ravipati1
1National Centre for Healthy Ageing, Frankston, Victoria, Australia.
概括
研究人员定义了一个核心数据集,由11个医院电子健康记录 (EHR) 系统的133个适合研究的数据项目组成. 这种结构化的方法确保了数据的准确性和可访问性,用于患者护理和研究.
科学领域:
- 医疗信息学 医疗信息学
- 数据管理数据管理
- 临床研究 临床研究
背景情况:
- 电子健康记录 (EHR) 系统包含大量数据,但它们适用于研究的适用性各不相同.
- 需要一个结构化的方法来识别医院系统中的研究准备数据.
- 国家健康老龄化中心数据平台需要一个精心策划的数据集用于研究目的.
研究的目的:
- 从各种医院数据集和系统中建立一套适合研究的核心数据.
- 为国家健康衰老中心数据平台创建一个标准化的数据基础.
主要方法:
- 通过文献审查,研究人员调查和质量审计确定了候选数据项目.
- 为了达成共识,使用了一种经过修改的Delphi方法,涉及研究人员和临床医生.
- 在11个数据集中进行了使用利克特尺度和反机制的实时在线调查.
- 在核心数据集中包含的接受标准是>70%的协议.
主要成果:
- 协商一致过程涉及16所大学和17名临床医生研究人员.
- 评估了最初的144个数据项目,专家提供了更多细节.
- 对于大多数项目,在一两轮会议内就达成共识.
- 最终的核心数据集包括所有11个数据集中的133个数据项目.
结论:
- 采用的方法有效地在各种研究利益相关者之间达成共识.
- 选择的核心数据集与多个研究应用相关.
- 这一核心数据集将促进有针对性的数据质量改善和可访问性,用于患者护理,管理和研究.
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