Lessons Learned From European Health Data Projects With Cancer Use Cases: Implementation of Health Standards and Internet of Things Semantic Interoperability
The adoption of the European Health Data Space (EHDS) regulation has made integrating health data critical for both primary and secondary applications. Primary use cases include patient diagnosis, prognosis, and treatment, while secondary applications support research, innovation, and reg...
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JMIR Publications
2025-03-01
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| Series: | Journal of Medical Internet Research |
| Online Access: | https://www.jmir.org/2025/1/e66273 |
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| author | Amelie Gyrard Somayeh Abedian Philip Gribbon George Manias Rick van Nuland Kurt Zatloukal Irina Emilia Nicolae Gabriel Danciu Septimiu Nechifor Luis Marti-Bonmati Pedro Mallol Stefano Dalmiani Serge Autexier Mario Jendrossek Ioannis Avramidis Eva Garcia Alvarez Petr Holub Ignacio Blanquer Anna Boden Rada Hussein |
| author_facet | Amelie Gyrard Somayeh Abedian Philip Gribbon George Manias Rick van Nuland Kurt Zatloukal Irina Emilia Nicolae Gabriel Danciu Septimiu Nechifor Luis Marti-Bonmati Pedro Mallol Stefano Dalmiani Serge Autexier Mario Jendrossek Ioannis Avramidis Eva Garcia Alvarez Petr Holub Ignacio Blanquer Anna Boden Rada Hussein |
| author_sort | Amelie Gyrard |
| collection | DOAJ |
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The adoption of the European Health Data Space (EHDS) regulation has made integrating health data critical for both primary and secondary applications. Primary use cases include patient diagnosis, prognosis, and treatment, while secondary applications support research, innovation, and regulatory decision-making. Additionally, leveraging large datasets improves training quality for artificial intelligence (AI) models, particularly in cancer prevention, prediction, and treatment personalization. The European Union (EU) has recently funded multiple projects under Europe’s Beating Cancer Plan. However, these projects face challenges related to fragmentation and the lack of standardization in metadata, data storage, access, and processing. This paper examines interoperability standards used in six EU-funded cancer-related projects: IDERHA (Integration of Heterogeneous Data and Evidence Towards Regulatory and Health Technology Assessments Acceptance), EUCAIM (European Cancer Imaging Initiative), ASCAPE (Artificial Intelligence Supporting Cancer Patients Across Europe), iHelp, BigPicture, and the HealthData@EU pilot. These initiatives aim to enhance the analysis of heterogeneous health data while aligning with EHDS implementation, specifically for the EHDS for the secondary use of data (EHDS2). Between October 2023 and July 2024, we organized meetings and workshops among these projects to assess how they adopt health standards and apply Internet of Things (IoT) semantic interoperability. The discussions focused on interoperability standards for health data, knowledge graphs, the data quality framework, patient-generated health data, AI reasoning, federated approaches, security, and privacy. Based on our findings, we developed a template for designing the EHDS2 interoperability framework in alignment with the new European Interoperability Framework (EIF) and EHDS governance standards. This template maps EHDS2-recommended standards to the EIF model and principles, linking the proposed EHDS2 data quality framework to relevant International Organization for Standardization (ISO) standards. Using this template, we analyzed and compared how the recommended EHDS2 standards were implemented across the studied projects. During workshops, project teams shared insights on overcoming interoperability challenges and their innovative approaches to bridging gaps in standardization. With support from HSbooster.eu, we facilitated collaboration among these projects to exchange knowledge on standards, legal implementation, project sustainability, and harmonization with EHDS2. The findings from this work, including the created template and lessons learned, will be compiled into an interactive toolkit for the EHDS2 interoperability framework. This toolkit will help existing and future projects align with EHDS2 technical and legal requirements, serving as a foundation for a common EHDS2 interoperability framework. Additionally, standardization efforts include participation in the development of ISO/IEC 21823-3:2021—Semantic Interoperability for IoT Systems. Since no ISO standard currently exists for digital pathology and AI-based image analysis for medical diagnostics, the BigPicture project is contributing to ISO/PWI 24051-2, which focuses on digital pathology and AI-based, whole-slide image analysis. Integrating these efforts with ongoing ISO initiatives can enhance global standardization and facilitate widespread adoption across health care systems. |
| format | Article |
| id | doaj-art-b6f30c07f0ca4f76bd27cfae83e84948 |
| institution | DOAJ |
| issn | 1438-8871 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | Journal of Medical Internet Research |
| spelling | doaj-art-b6f30c07f0ca4f76bd27cfae83e849482025-08-20T02:41:24ZengJMIR PublicationsJournal of Medical Internet Research1438-88712025-03-0127e6627310.2196/66273Lessons Learned From European Health Data Projects With Cancer Use Cases: Implementation of Health Standards and Internet of Things Semantic InteroperabilityAmelie Gyrardhttps://orcid.org/0000-0003-3938-5617Somayeh Abedianhttps://orcid.org/0000-0002-6427-6941Philip Gribbonhttps://orcid.org/0000-0001-7655-2459George Maniashttps://orcid.org/0000-0003-0128-2022Rick van Nulandhttps://orcid.org/0009-0000-1659-274XKurt Zatloukalhttps://orcid.org/0000-0001-5299-7218Irina Emilia Nicolaehttps://orcid.org/0000-0002-9346-8467Gabriel Danciuhttps://orcid.org/0000-0002-8561-1171Septimiu Nechiforhttps://orcid.org/0000-0001-5727-6081Luis Marti-Bonmatihttps://orcid.org/0000-0002-8234-010XPedro Mallolhttps://orcid.org/0000-0003-3839-3324Stefano Dalmianihttps://orcid.org/0000-0002-2010-9164Serge Autexierhttps://orcid.org/0000-0002-0769-0732Mario Jendrossekhttps://orcid.org/0009-0002-6523-4310Ioannis Avramidishttps://orcid.org/0000-0002-3242-3097Eva Garcia Alvarezhttps://orcid.org/0000-0002-3522-5088Petr Holubhttps://orcid.org/0000-0002-5358-616XIgnacio Blanquerhttps://orcid.org/0000-0003-1692-8922Anna Bodenhttps://orcid.org/0000-0002-0128-870XRada Husseinhttps://orcid.org/0000-0003-1257-4848 The adoption of the European Health Data Space (EHDS) regulation has made integrating health data critical for both primary and secondary applications. Primary use cases include patient diagnosis, prognosis, and treatment, while secondary applications support research, innovation, and regulatory decision-making. Additionally, leveraging large datasets improves training quality for artificial intelligence (AI) models, particularly in cancer prevention, prediction, and treatment personalization. The European Union (EU) has recently funded multiple projects under Europe’s Beating Cancer Plan. However, these projects face challenges related to fragmentation and the lack of standardization in metadata, data storage, access, and processing. This paper examines interoperability standards used in six EU-funded cancer-related projects: IDERHA (Integration of Heterogeneous Data and Evidence Towards Regulatory and Health Technology Assessments Acceptance), EUCAIM (European Cancer Imaging Initiative), ASCAPE (Artificial Intelligence Supporting Cancer Patients Across Europe), iHelp, BigPicture, and the HealthData@EU pilot. These initiatives aim to enhance the analysis of heterogeneous health data while aligning with EHDS implementation, specifically for the EHDS for the secondary use of data (EHDS2). Between October 2023 and July 2024, we organized meetings and workshops among these projects to assess how they adopt health standards and apply Internet of Things (IoT) semantic interoperability. The discussions focused on interoperability standards for health data, knowledge graphs, the data quality framework, patient-generated health data, AI reasoning, federated approaches, security, and privacy. Based on our findings, we developed a template for designing the EHDS2 interoperability framework in alignment with the new European Interoperability Framework (EIF) and EHDS governance standards. This template maps EHDS2-recommended standards to the EIF model and principles, linking the proposed EHDS2 data quality framework to relevant International Organization for Standardization (ISO) standards. Using this template, we analyzed and compared how the recommended EHDS2 standards were implemented across the studied projects. During workshops, project teams shared insights on overcoming interoperability challenges and their innovative approaches to bridging gaps in standardization. With support from HSbooster.eu, we facilitated collaboration among these projects to exchange knowledge on standards, legal implementation, project sustainability, and harmonization with EHDS2. The findings from this work, including the created template and lessons learned, will be compiled into an interactive toolkit for the EHDS2 interoperability framework. This toolkit will help existing and future projects align with EHDS2 technical and legal requirements, serving as a foundation for a common EHDS2 interoperability framework. Additionally, standardization efforts include participation in the development of ISO/IEC 21823-3:2021—Semantic Interoperability for IoT Systems. Since no ISO standard currently exists for digital pathology and AI-based image analysis for medical diagnostics, the BigPicture project is contributing to ISO/PWI 24051-2, which focuses on digital pathology and AI-based, whole-slide image analysis. Integrating these efforts with ongoing ISO initiatives can enhance global standardization and facilitate widespread adoption across health care systems.https://www.jmir.org/2025/1/e66273 |
| spellingShingle | Amelie Gyrard Somayeh Abedian Philip Gribbon George Manias Rick van Nuland Kurt Zatloukal Irina Emilia Nicolae Gabriel Danciu Septimiu Nechifor Luis Marti-Bonmati Pedro Mallol Stefano Dalmiani Serge Autexier Mario Jendrossek Ioannis Avramidis Eva Garcia Alvarez Petr Holub Ignacio Blanquer Anna Boden Rada Hussein Lessons Learned From European Health Data Projects With Cancer Use Cases: Implementation of Health Standards and Internet of Things Semantic Interoperability Journal of Medical Internet Research |
| title | Lessons Learned From European Health Data Projects With Cancer Use Cases: Implementation of Health Standards and Internet of Things Semantic Interoperability |
| title_full | Lessons Learned From European Health Data Projects With Cancer Use Cases: Implementation of Health Standards and Internet of Things Semantic Interoperability |
| title_fullStr | Lessons Learned From European Health Data Projects With Cancer Use Cases: Implementation of Health Standards and Internet of Things Semantic Interoperability |
| title_full_unstemmed | Lessons Learned From European Health Data Projects With Cancer Use Cases: Implementation of Health Standards and Internet of Things Semantic Interoperability |
| title_short | Lessons Learned From European Health Data Projects With Cancer Use Cases: Implementation of Health Standards and Internet of Things Semantic Interoperability |
| title_sort | lessons learned from european health data projects with cancer use cases implementation of health standards and internet of things semantic interoperability |
| url | https://www.jmir.org/2025/1/e66273 |
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