同步标准:实现医疗保健TRUE研究的语义互操作性的五项原则。

IF 3.2 Q1 HEALTH CARE SCIENCES & SERVICES
Frontiers in digital health Pub Date : 2025-06-05 eCollection Date: 2025-01-01 DOI:10.3389/fdgth.2025.1567624
Rhonda Facile, Catherine Chronaki, Peter van Reusel, Rebecca Kush
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引用次数: 0

摘要

有效和有意义的数据交换对于患者护理、知情决策以及研究和技术进步至关重要。这篇观点文章探讨了语义互操作性(SI)在确保跨不同系统有意义的健康数据共享方面的关键作用。强调同步使用数据标准的必要性,我们解决了不同数据格式带来的挑战,并强调了对患者结果的影响。国际上,统一的标准被提出作为实现SI的基石,而专有标准的缺点进行了审查。案例研究,包括国际标准化组织(ISO)、健康等级7快速医疗互操作性资源(HL7 FHIR)和临床数据交换标准联盟(CDISC)标准的补充使用,提供了实际的见解。我们在这里提供了五个简单的原则[在可能的情况下重用现有标准,避免映射,在项目开始时实现标准,与标准开发组织(sdo)一起参与标准开发活动,并努力协调跨sdo的标准],以实现语义意义,支持用于医疗保健的可信、可重用、可理解的数据元素(TRUE)研究数据。我们希望为未来提供一种观点,在未来,标准是同步的,拟议的五项原则在全球得到部署,以确保进行值得信赖的研究,以改善所有人的健康结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Standards in sync: five principles to achieve semantic interoperability for TRUE research for healthcare.

The effective and meaningful exchange of data is pivotal for patient care, informed decision-making, and advancements in research and technology. This opinion piece explores the critical role of semantic interoperability (SI) in ensuring meaningful health data sharing across diverse systems. Emphasizing the imperative of synchronizing the use of data standards, we address the challenges posed by disparate data formats and underscore the impact on patient outcomes. International, harmonized standards are presented as a cornerstone for achieving SI, while the drawbacks of proprietary standards are examined. Case studies, including the complementary use of International Organization for Standardization (ISO), Health Level Seven Fast Healthcare Interoperability Resources (HL7 FHIR), and Clinical Data Interchange Standards Consortium (CDISC) standards, offer practical insights. We offer here five simple principles [reuse existing standards where possible, avoid mapping, implement standards at the start of a project, participate in standards development activities with standards development organizations (SDOs), and work toward harmonization of standards across SDOs] for achieving semantic meaning in support of Trustworthy, Reusable, Understandable data Elements (TRUE) research data for healthcare. We hope to provide a view to a future where standards are in sync and the proposed five principles are deployed globally to ensure the conduct of trustworthy research for the sake of improving health outcomes for all.

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CiteScore
4.20
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