开发一种以道德框架为指导的工具,用于评估基于EHR的大数据研究中的偏见:一个研究协议.
Shan Qiao1, George Khushf2, Xiaoming Li3
1Health Promotion Education and Behavior, University of South Carolina, Columbia, South Carolina, USA.
BMJ open
|August 17, 2023
概括
本研究介绍了一项伦理框架和指导方针,用于评估使用电子健康记录 (EHR) 的大数据健康研究中的偏见. 该工具旨在减轻与医学研究中的数据策划和采集相关的风险.
科学领域:
- 大数据健康研究 大数据健康研究
- 医学伦理 医学伦理
- 公共卫生信息学 公共卫生信息学
背景情况:
- 医疗研究中的大数据提供了进步,但也带来了伦理挑战.
- 电子健康记录 (EHR) 数据和数据处理过程中的潜在偏差是研究不足的伦理问题.
- 解决偏见对于大数据健康研究的完整性至关重要.
研究的目的:
- 开发,完善和试点测试一个以道德框架为指导的工具,用于评估大数据研究中的偏见.
- 该工具特别针对电子健康记录 (EHR) 数据集中的偏见.
- 提高利用大数据的健康研究的伦理完整性.
主要方法:
- 一个代的过程,涉及文献/政策审查,内容分析和跨学科对话.
- 制定一个伦理框架和一个EHR偏见评估指南.
- 在国家卫生研究院 (NIH) 资助的大数据艾滋病毒项目中试点测试指南.
主要成果:
- 一个伦理框架和一个实用的EHR偏见评估指南是通过一个代的,利益相关者参与的过程开发出来的.
- 该指南通过内容分析和跨学科讨论进行了改进.
- 开发的仪器已经准备好在现实世界的大数据研究项目中进行试点测试.
结论:
- 开发的EHR偏见评估指南提供了一种结构化的方法,用于识别和减轻大数据健康研究中的偏见.
- 让各种各样的利益相关者参与是为健康数据研究创造有效的伦理工具的关键.
- 这一框架和指导方针将有助于更公平,更可靠的健康研究成果.
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