Toward Better Semantic Interoperability of Data Element Repositories in Medicine: Analysis Study.

IF 3.1 3区医学 Q2 MEDICAL INFORMATICS JMIR Medical Informatics Pub Date : 2024-09-30 DOI:10.2196/60293

Zhengyong Hu, Anran Wang, Yifan Duan, Jiayin Zhou, Wanfei Hu, Sizhu Wu

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Abstract

Background: Data element repositories facilitate high-quality medical data sharing by standardizing data and enhancing semantic interoperability. However, the application of repositories is confined to specific projects and institutions.

Objective: This study aims to explore potential issues and promote broader application of data element repositories within the medical field by evaluating and analyzing typical repositories.

Methods: Following the inclusion of 5 data element repositories through a literature review, a novel analysis framework consisting of 7 dimensions and 36 secondary indicators was constructed and used for evaluation and analysis.

Results: The study's results delineate the unique characteristics of different repositories and uncover specific issues in their construction. These issues include the absence of data reuse protocols and insufficient information regarding the application scenarios and efficacy of data elements. The repositories fully comply with only 45% (9/20) of the subprinciples for Findable and Reusable in the FAIR principle, while achieving a 90% (19/20 subprinciples) compliance rate for Accessible and 67% (10/15 subprinciples) for Interoperable.

Conclusions: The recommendations proposed in this study address the issues to improve the construction and application of repositories, offering valuable insights to data managers, computer experts, and other pertinent stakeholders.

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实现医学数据元素库更好的语义互操作性：分析研究。

背景：数据元素资源库通过数据标准化和增强语义互操作性，促进了高质量的医疗数据共享。然而，存储库的应用仅限于特定的项目和机构：本研究旨在通过评估和分析典型的数据元素库，探讨潜在的问题并促进数据元素库在医疗领域的更广泛应用：方法：通过文献综述纳入 5 个数据元素库后，构建了由 7 个维度和 36 个二级指标组成的新型分析框架，并用于评估和分析：研究结果：研究结果描述了不同资源库的独特性，并揭示了其建设过程中的具体问题。这些问题包括缺乏数据再利用协议，以及有关数据元素的应用场景和功效的信息不足。这些资料库只完全符合 FAIR 原则中可查找和可重用子原则的 45%（9/20），而符合可访问原则的比例为 90%（19/20 子原则），符合可互操作原则的比例为 67%（10/15 子原则）：本研究提出的建议解决了改进资料库建设和应用的问题，为数据管理人员、计算机专家和其他相关利益方提供了有价值的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

JMIR Medical Informatics Medicine-Health Informatics

CiteScore

7.90

自引率

3.10%

发文量

173

审稿时长

12 weeks

期刊介绍： JMIR Medical Informatics (JMI, ISSN 2291-9694) is a top-rated, tier A journal which focuses on clinical informatics, big data in health and health care, decision support for health professionals, electronic health records, ehealth infrastructures and implementation. It has a focus on applied, translational research, with a broad readership including clinicians, CIOs, engineers, industry and health informatics professionals. Published by JMIR Publications, publisher of the Journal of Medical Internet Research (JMIR), the leading eHealth/mHealth journal (Impact Factor 2016: 5.175), JMIR Med Inform has a slightly different scope (emphasizing more on applications for clinicians and health professionals rather than consumers/citizens, which is the focus of JMIR), publishes even faster, and also allows papers which are more technical or more formative than what would be published in the Journal of Medical Internet Research.