危机期间动员数据:使用多机构真实世界数据建立快速证据管道
Jayson S Marwaha1, Maren Downing2, John Halamka3
1Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA; Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Healthcare (Amsterdam, Netherlands)
|March 26, 2024
概括
现实世界数据 (RWD) 联盟迅速生成了COVID-19的证据. 经验为构建未来RWD分析管道提供指导,以有效解决公共卫生问题.
科学领域:
- 公共卫生 公共卫生
- 数据科学数据科学数据科学
- 流行病学 流行病学
背景情况:
- 随着COVID-19的流行,人们需要使用真实世界数据 (RWD) 快速生成证据.
- 2020年,许多公共和私人联盟成立,以利用RWD为医疗决策和公共卫生.
- 分析了五个大型联盟的经验,以提供对多机构RWD分析的见解.
研究的目的:
- 为未来的公共卫生挑战建立大规模的多机构RWD分析管道提供指导.
- 分享在COVID-19大流行期间快速生成证据的联盟所吸取的经验教训.
- 为应对新出现的健康危机制定强大的RWD分析框架提供信息.
主要方法:
- 分析了五个主要联盟的经验,重点关注RWD证据生成.
- 审查联盟的组成,治理,数据共享,分析方法和证据传播.
- 收集了RWD协作分析的五个关键维度的见解.
主要成果:
- 财团的组成往往是基于现有的合作,有不同的治理结构,但优先级一致.
- 在获取临床数据方面面临的挑战,通过各种策略得到克服.
- 集中和联合数据分析方法都被证明是有效的,可以产生有意义的RWD见解.
- 对临床实践和公共卫生的可行的建议是从联盟的研究结果中得出的.
结论:
- 财团成功地利用RWD.成功地在 COVID-19 诊断和治疗上及时生成了证据.
- 当RWD分析以科学严谨和透明度进行时,它补充了临床试验,并为政策提供了信息.
- 利用RWD对于有效的流行病应对和指导关键护理决策至关重要.
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