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临床研究信息学:2023年的贡献。

Clinical Research Informatics: Contributions from 2023.

作者信息

Tannier Xavier, Kalra Dipak

机构信息

Sorbonne University, Inserm, University Sorbonne Paris-Nord, University Paris 13, Sorbonne Paris Cité, INSERM UMR_S 1142, LIMICS, F-75006 Paris, France.

The University of Gent, Gent, Belgium.

出版信息

Yearb Med Inform. 2024 Aug;33(1):143-146. doi: 10.1055/s-0044-1800733. Epub 2025 Apr 8.

DOI:10.1055/s-0044-1800733
PMID:40199299
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12020644/
Abstract

OBJECTIVES

To summarize key contributions to current research in the field of Clinical Research Informatics (CRI) and to select the best papers published in 2023.

METHODS

A bibliographic search using a combination of MeSH descriptors and free-text terms on CRI was performed using PubMed, followed by a double-blind review in order to select a list of candidate best papers to be then peer-reviewed by external reviewers. After peer-review ranking, a consensus meeting between the two section editors and the editorial team was organized to finally conclude on the selected three best papers.

RESULTS

Among the 1,119 papers returned by the search, published in 2023, that were in the scope of the various areas of CRI, the full review process selected three best papers. The first best paper describes the process undertaken in Germany, under the national Medical Informatics Initiative, to define and validate a provenance metadata framework to enable the interpretation including quality assessment of health data reused for research. The authors of the second-best paper present a methodology for the generation of computable phenotypes and the covariates associated with success rates in e-phenotype validation. The third-best presents a review of published and accessible tools that enable the assessment of health data quality through an automated process. This year's survey paper marks the tenth anniversary of the CRI section of the Yearbook by reviewing the dominant themes within CRI over the past decade and the major milestone innovations within this field.

CONCLUSIONS

The literature relevant to CRI in 2023 has largely been populated by publications that assess and enhance the reusability of health data for clinical research, in particular data quality assessment and metadata management.

摘要

目的

总结对临床研究信息学(CRI)领域当前研究的关键贡献,并挑选2023年发表的最佳论文。

方法

使用PubMed对CRI进行主题词表描述符和自由文本词组合的文献检索,随后进行双盲评审,以选出候选最佳论文列表,然后由外部评审员进行同行评审。在同行评审排名之后,组织了两位栏目编辑与编辑团队之间的共识会议,最终确定入选的三篇最佳论文。

结果

在检索返回的2023年发表的、属于CRI各个领域范围内的1119篇论文中,整个评审过程选出了三篇最佳论文。第一篇最佳论文描述了在德国国家医学信息学倡议下所开展的过程,即定义和验证一个来源元数据框架,以实现对用于研究的健康数据的解释,包括质量评估。第二篇最佳论文的作者提出了一种生成可计算表型以及与电子表型验证成功率相关的协变量的方法。第三篇最佳论文对已发表且可获取的工具进行了综述,这些工具能够通过自动化过程评估健康数据质量。今年的综述论文通过回顾过去十年CRI领域的主导主题以及该领域的主要里程碑式创新,纪念了年鉴CRI栏目的十周年。

结论

2023年与CRI相关的文献在很大程度上充斥着评估和提高健康数据在临床研究中的可重用性的出版物,特别是数据质量评估和元数据管理方面的出版物。

相似文献

1
Clinical Research Informatics: Contributions from 2023.临床研究信息学:2023年的贡献。
Yearb Med Inform. 2024 Aug;33(1):143-146. doi: 10.1055/s-0044-1800733. Epub 2025 Apr 8.
2
Clinical Research Informatics: Contributions from 2022.临床研究信息学:2022 年的贡献。
Yearb Med Inform. 2023 Aug;32(1):146-151. doi: 10.1055/s-0043-1768748. Epub 2023 Dec 26.
3
Clinical Research Informatics.临床研究信息学。
Yearb Med Inform. 2020 Aug;29(1):203-207. doi: 10.1055/s-0040-1702007. Epub 2020 Aug 21.
4
Key Contributions in Clinical Research Informatics.临床研究信息学的主要贡献。
Yearb Med Inform. 2021 Aug;30(1):233-238. doi: 10.1055/s-0041-1726514. Epub 2021 Sep 3.
5
Clinical Research Informatics.临床研究信息学。
Yearb Med Inform. 2022 Aug;31(1):161-164. doi: 10.1055/s-0042-1742530. Epub 2022 Dec 4.
6
Clinical Research Informatics: Contributions from 2017.临床研究信息学:2017年的贡献
Yearb Med Inform. 2018 Aug;27(1):177-183. doi: 10.1055/s-0038-1641220. Epub 2018 Aug 29.
7
Clinical Research Informatics Contributions from 2015.2015年临床研究信息学的贡献。
Yearb Med Inform. 2016 Nov 10(1):219-223. doi: 10.15265/IY-2016-044.
8
Clinical Research Informatics: Contributions from 2018.临床研究信息学:2018年的贡献。
Yearb Med Inform. 2019 Aug;28(1):203-205. doi: 10.1055/s-0039-1677921. Epub 2019 Aug 16.
9
Clinical Research Informatics: Contributions from 2016.临床研究信息学:2016年的贡献
Yearb Med Inform. 2017 Aug;26(1):209-213. doi: 10.15265/IY-2017-024. Epub 2017 Sep 11.
10
Machine and Deep Learning Dominate Recent Innovations in Sensors, Signals and Imaging Informatics.机器和深度学习主导传感器、信号和成像信息学的最新创新。
Yearb Med Inform. 2023 Aug;32(1):282-285. doi: 10.1055/s-0043-1768743. Epub 2023 Dec 26.

本文引用的文献

1
Traceable Research Data Sharing in a German Medical Data Integration Center With FAIR (Findability, Accessibility, Interoperability, and Reusability)-Geared Provenance Implementation: Proof-of-Concept Study.德国医学数据集成中心基于FAIR(可查找性、可访问性、互操作性和可重用性)的溯源实现的可追溯研究数据共享:概念验证研究
JMIR Form Res. 2023 Dec 7;7:e50027. doi: 10.2196/50027.
2
Effective data quality management for electronic medical record data using SMART DATA.使用 SMART DATA 实现电子病历数据的有效数据质量管理。
Int J Med Inform. 2023 Dec;180:105262. doi: 10.1016/j.ijmedinf.2023.105262. Epub 2023 Oct 12.
3
Enriching representation learning using 53 million patient notes through human phenotype ontology embedding.通过人类表型本体嵌入使用 5300 万患者笔记来丰富表示学习。
Artif Intell Med. 2023 May;139:102523. doi: 10.1016/j.artmed.2023.102523. Epub 2023 Feb 28.
4
Piloting an automated clinical trial eligibility surveillance and provider alert system based on artificial intelligence and standard data models.基于人工智能和标准数据模型,试点自动化临床试验资格监测和提供方提醒系统。
BMC Med Res Methodol. 2023 Apr 11;23(1):88. doi: 10.1186/s12874-023-01916-6.
5
Representing and utilizing clinical textual data for real world studies: An OHDSI approach.用于真实世界研究的临床文本数据表示和利用:OHDSI 方法。
J Biomed Inform. 2023 Jun;142:104343. doi: 10.1016/j.jbi.2023.104343. Epub 2023 Mar 17.
6
Automating Electronic Health Record Data Quality Assessment.自动化电子健康记录数据质量评估。
J Med Syst. 2023 Feb 13;47(1):23. doi: 10.1007/s10916-022-01892-2.
7
Rare Diseases in Hospital Information Systems-An Interoperable Methodology for Distributed Data Quality Assessments.医院信息系统中的罕见病——分布式数据质量评估的可互操作方法。
Methods Inf Med. 2023 Sep;62(3-04):71-89. doi: 10.1055/a-2006-1018. Epub 2023 Jan 3.
8
Characterizing variability of electronic health record-driven phenotype definitions.电子健康记录驱动的表型定义的变异性特征描述。
J Am Med Inform Assoc. 2023 Feb 16;30(3):427-437. doi: 10.1093/jamia/ocac235.
9
Considerations for Embedding Inclusive Research Principles in the Design and Execution of Clinical Trials.考虑将包容性研究原则嵌入临床试验的设计和执行中。
Ther Innov Regul Sci. 2023 Mar;57(2):186-195. doi: 10.1007/s43441-022-00464-3. Epub 2022 Oct 14.
10
Not all phenotypes are created equal: covariates of success in e-phenotype specification.并非所有表型都是平等的:电子表型规范成功的协变量。
J Am Med Inform Assoc. 2023 Jan 18;30(2):213-221. doi: 10.1093/jamia/ocac157.