临床研究信息学:从2023年的贡献.
1Sorbonne University, Inserm, University Sorbonne Paris-Nord, University Paris 13, Sorbonne Paris Cité, INSERM UMR_S 1142, LIMICS, F-75006 Paris, France.
Yearbook of medical informatics
|April 8, 2025
概括
本综述强调了2023年临床研究信息学 (CRI) 的顶级研究,重点是通过质量评估和元数据管理来提高健康数据的可重复使用性. 三篇关键论文因其对该领域的重大贡献而被选中.
科学领域:
- 临床研究信息学 (CRI)
- 健康 数据科学 数据科学
- 生物医学信息学 生物医学信息学
背景情况:
- 临床研究信息学 (CRI) 对于推动医学研究至关重要.
- 选择具有影响力的出版物对于跟踪该领域的进展至关重要.
- 2023年将在健康数据管理和可重复使用方面取得重大进展.
研究的目的:
- 确定和总结2023年发表的临床研究信息学 (CRI) 最重要的贡献.
- 选择代表该领域关键进步的前三篇论文.
- 提供过去十年中CRI的主导主题和创新的概述.
主要方法:
- 使用PubMed进行了对CRI文献的全面文献搜索.
- 采用严格的双盲审查过程,对候选人的论文进行了短期评选.
- 外部同行评审和共识会议决定了最后的三篇最佳论文的选择.
主要成果:
- 从1,119个初始出版物中,从2023年开始的三个优秀论文被选中.
- 选出的论文重点关注健康数据的来源元数据框架,可计算的表型生成和自动化健康数据质量评估工具.
- 此外,还介绍了过去十年中CRI中占主导地位的主题的综述.
结论:
- 2023年CRI文献强调改善临床研究的健康数据可重复使用性.
- 其重点领域包括数据质量评估和元数据管理.
- 这些进展对于临床研究和数据驱动医疗的未来至关重要.
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