Advancing the adoption of oncology decision support tools in Europe: insights from CAN.HEAL

Effective cancer care increasingly depends on digital decision support tools (DSTs) to interpret complex clinical, molecular, and genomic data and guide personalised treatment decisions. However, the oncology DST (oncDST) landscape remains fragmented, with limited interoperability, inconsistent standards, and uneven clinical adoption across healthcare systems. This fragmentation hinders routine clinical use and impedes the demonstration of robust clinical benefit. To address these challenges, the CAN.HEAL consortium proposes the EU-oncDST digital framework, a conceptual, harmonised, interoperable, and modular architecture designed to integrate existing oncDSTs across Europe. Developed through consortium-wide consultations, an EU-level survey and comprehensive mapping of both public and private solutions, the framework provides a practical pathway for implementing interoperable oncDSTs while fostering stakeholder collaboration and innovation. It also promotes the improvement of data-driven precision oncology, highlighting the integration of artificial intelligence, enabling continuous patient follow-up, and supporting the development of a learning cancer system. At its core, the framework empowers Molecular Tumour Boards (MTBs) to operate efficiently at institutional, national, and European levels. By offering a harmonised, interoperable, and modular architecture designed to integrate clinical, molecular and genomic data, the framework strengthens evidence-based and personalised treatment recommendations. A phased action plan links MTB deployment to the implementation of oncDSTs. Early phases focus on piloting and validating oncDST use within MTBs, optimising patient-centred consultations, harmonising variant annotation, and enhancing clinical trial matching. Overall, the EU-oncDST digital framework aims to provide a practical and collaborative pathway to strengthen oncology decision-making and accelerate the translation of precision medicine into clinical benefit across Europe.

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Publication Details

Journal
Frontiers in Digital Health
Published
2026-03-27
DOI
https://doi.org/10.3389/fdgth.2026.1784519
Primary Topic
Cancer Genomics and Diagnostics
Type
article
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article

Advancing the adoption of oncology decision support tools in Europe: insights from CAN.HEAL

Aline Hébrant, B. Maes, Nancy Frederickx, Zoilo Morel et al.
Frontiers in Digital Health
Cancer Genomics and Diagnostics
article

Advancing the adoption of oncology decision support tools in Europe: insights from CAN.HEAL

Aline Hébrant, B. Maes, Nancy Frederickx, Zoilo Morel, Rossana Alessandrello, Matteo Pallocca, Guy Froyen, Julie Maetens, Els Van Valckenborgh, Marc Van den Bulcke, Gordana Raicevic Toungouz, Frédérique Nowak, Maud Kamal, N C von Bubnoff, Patrizio Giacomini, Gennaro Ciliberto, Jose Maria Castellano Gracia, Pauline De Wurstemberger, J. Matt McCrary, Claudia Prats, Ruggero De Maria, Célia Dupain
article en

Abstract

Effective cancer care increasingly depends on digital decision support tools (DSTs) to interpret complex clinical, molecular, and genomic data and guide personalised treatment decisions. However, the oncology DST (oncDST) landscape remains fragmented, with limited interoperability, inconsistent standards, and uneven clinical adoption across healthcare systems. This fragmentation hinders routine clinical use and impedes the demonstration of robust clinical benefit. To address these challenges, the CAN.HEAL consortium proposes the EU-oncDST digital framework, a conceptual, harmonised, interoperable, and modular architecture designed to integrate existing oncDSTs across Europe. Developed through consortium-wide consultations, an EU-level survey and comprehensive mapping of both public and private solutions, the framework provides a practical pathway for implementing interoperable oncDSTs while fostering stakeholder collaboration and innovation. It also promotes the improvement of data-driven precision oncology, highlighting the integration of artificial intelligence, enabling continuous patient follow-up, and supporting the development of a learning cancer system. At its core, the framework empowers Molecular Tumour Boards (MTBs) to operate efficiently at institutional, national, and European levels. By offering a harmonised, interoperable, and modular architecture designed to integrate clinical, molecular and genomic data, the framework strengthens evidence-based and personalised treatment recommendations. A phased action plan links MTB deployment to the implementation of oncDSTs. Early phases focus on piloting and validating oncDST use within MTBs, optimising patient-centred consultations, harmonising variant annotation, and enhancing clinical trial matching. Overall, the EU-oncDST digital framework aims to provide a practical and collaborative pathway to strengthen oncology decision-making and accelerate the translation of precision medicine into clinical benefit across Europe.

Frontiers in Digital HealthVol. 8
Università Cattolica del Sacro Cuore (IT), Inserm (FR), Agostino Gemelli University Polyclinic (IT), Medizinische Hochschule Hannover (DE), Jessa Hospital (BE), University Hospital Schleswig-Holstein (DE), Precision for Medicine (United States) (US), Agència de Qualitat i Avaluació Sanitàries de Catalunya (ES), Universitätsklinikum Würzburg (DE), National Cancer Institute (MY), Institute for Experimental Endocrinology and Oncology (IT), Sciensano (Belgium) (BE), Alleanza Contro il Cancro (IT), Institut Curie (FR), Hasselt University (BE), University of Lübeck (DE)
Partnerships for the goals
Openalex Percentile: Top 7%
Cancer Genomics and Diagnostics
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