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.
Authors
- Aline Hébrant
- B. Maes
- Nancy Frederickx
- Zoilo Morel (ORCID: https://orcid.org/0000-0001-6438-446X)
- Rossana Alessandrello (ORCID: https://orcid.org/0000-0001-7808-5268)
- Matteo Pallocca (ORCID: https://orcid.org/0000-0002-7756-3579)
- Guy Froyen (ORCID: https://orcid.org/0000-0002-6671-1572)
- Julie Maetens
- Els Van Valckenborgh
- Marc Van den Bulcke (ORCID: https://orcid.org/0000-0002-1866-154X)
- Gordana Raicevic Toungouz (ORCID: https://orcid.org/0000-0002-2934-0426)
- 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
Institutions
- 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)
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
- Field-Weighted Citation Impact
- 0.00