PERSPECTIVE article

Front. Digit. Health

Sec. Health Informatics

Volume 7 - 2025 | doi: 10.3389/fdgth.2025.1567624

This article is part of the Research TopicUnlocking the Potential of Health Data: Interoperability, Security, and Emerging Challenges in AI, LLM, Precision Medicine, and Their Impact on Healthcare and ResearchView all articles

Standards in Sync: Five Principles to Achieve Semantic Interoperability for TRUE Research

Provisionally accepted
Rhonda  FacileRhonda Facile1*Catherine  ChronakiCatherine Chronaki1Peter  Van ReusselPeter Van Reussel2Rebecca  KushRebecca Kush3
  • 1HL7 Europe, Brussels, Belgium
  • 2CDISC, Brussels, Belgium
  • 3Catalysis Research, Austin, Texas, USA, Austin, United States

The final, formatted version of the article will be published soon.

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 ISO, HL7 FHIR and CDISC standards, offer practical insights. We offer here five simple principles (reuse existing stands where possible, avoid mapping, implement standards at the start of a project, participate in standards development activities with SDOs and, work towards harmonization of standards across SDOs) for achieving semantic meaning in support of TRUE (Trustworthy, Reusable, Understandable data Elements) Research data for healthcare. Our hope is to provide a view to a future where standards 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.

Keywords: clinical research, semantic interoperability (SI), data science, Standards, interoperability

Received: 27 Jan 2025; Accepted: 24 Mar 2025.

Copyright: © 2025 Facile, Chronaki, Van Reussel and Kush. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Rhonda Facile, HL7 Europe, Brussels, Belgium

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