关于电子健康记录数据质量评估指标偏好的调查:以用户为导向的视角
Liu Yang1, Mudan Ren1, Shuifa Sun2
1School of Government, Beijing Normal University, Beijing 100875, China.
JAMIA open
|December 12, 2024
概括
不同的电子健康记录 (EHR) 用户对数据质量指标的优先级不同. 了解这些对数据质量评估指标 (DQAI) 的偏好,可以改善EHR系统和政策.
科学领域:
- 医疗信息学 医疗信息学
- 数据质量管理数据质量管理
- 电子健康记录电子健康记录
背景情况:
- 电子健康记录 (EHR) 对现代医疗保健提供至关重要.
- 确保EHR系统中的数据质量对于患者安全和有效的临床决策至关重要.
- 医疗保健中的各种用户角色可能对什么构成高质量的EHR数据有不同的看法.
研究的目的:
- 调查不同类型的EHR用户对数据质量评估指标 (DQAI) 的不同偏好.
- 探讨这些用户偏好如何为电子健康记录系统的增强提供信息.
- 优化与EHR数据质量相关的政策.
主要方法:
- 一个系统的文献审查确定了DQAI系统的高频指标.
- 一项以用户为导向的调查涉及医生,护士,医院主管和临床研究人员.
- 重法,模糊综合评估,探索性因子分析和可视化分析被用于评估和偏好探索.
主要成果:
- 确定了16个DQAI指标,并将其分组为结构和关系维度.
- DQAI系统获得了高的综合评价得分 (90.445),表明"非常重要"的地位.
- 用户的偏好各不相同:医生和护士重视所有指标,研究人员强调可信性,监督者关注准确性. 一般来说,比起结构性指标,人们更喜欢关系指标.
结论:
- 不同的EHR用户群体在指标和维度层面对DQAI表现出不同的偏好.
- 为了提高数据质量,需要针对电子健康记录系统开发和政策制定采取量身定制的方法.
- 以用户为中心的策略对于优化EHR系统和改善数据质量结果至关重要.
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