Implementing value-based oncology care at European cancer hospitals: An AI-based framework for assessing real-life effectiveness of novel cancer therapies in real-time

HealthHORIZON-RIAID: 101095245
EC Contribution
€69,530
Consortium Size
13 orgs
Start Year
2022
Summary

ONCOVALUE will unlock the full potential of real world data (RWD) collected in European cancer hospitals and institutes to ease the decision-making of regulators on cost-effectiveness of novel cancer therapies. To achieve this, we build up data collection and processing capabilities of leading European cancer hospitals to create a high-quality clinical, quality of life, and adverse events data-sources. With the use powerful AI technologies, we will transform unstructured data originating from medical notes and medical images into structured data to enable analytics and real world evidence (RWE). This RWE will be directly available for clinicians for treatment management and for health regulatory and HTA bodies to adopt optimized data-driven methodologies for the effective assessment of medicinal products and digital health innovations. For that, we will provide an end-to-end infrastructure for RWD reporting in health regulatory and HTA decision-making and address the legal constraints in the cancer hospitals to ensure secure and legal access to RWD. Furthermore, ONCOVALUE will ensure the implementation of the developed guidelines and methodologies, by providing trainings for the collection and management of high-quality RWD in European cancer centres and for the analysis of this data by HTA and regulatory bodies. By opening the door to widespread regulatory and HTA integration of RWD, ONCOVALUE will lead to safer, more efficient, and affordable therapies, technologies, and digital solutions for (personalised) cancer care. As such, ONCOVALUE is positioned to contribute to increased cost-effectiveness and subsequent sustainability of cancer care. Systematic collection and evaluation of the patient reported outcomes will lead to improved well-being of the patients. Subsequently, on the long-term implementation of value-based cancer care at European cancer hospitals will aid in reducing the growing burden of cancer treatment in the EU and worldwide.

Consortium (13)

Project Results (12)

Source: CORDIS, the EU research results database.

Publications (7)
Unbalanced Optimal Transport for Robust Longitudinal Lesion Evolution with Registration-Aware and Appearance-Guided Priors
ISBI 2026 (International Symposium on Biomedical Imaging)· 2026
Melika Qahqaie, Dominik Neumann, Tobias Heimann, Andreas Maier, Veronika A. Zimmer
Governance and data access mechanisms for secondary use within the European Health Data Space (EHDS) : Case ONCOVALUE on secondary use of electronic health data in value-based oncology care
· 2025
Tiia Hautaniemi
Guidance for DPIA Practices from EU-Funded Projects
· 2025DOI
Mohnani, Pooja; Koutsopoulos, Kostas; Bassi, Alessandro; Moraiti, Eleni; Kogut-Czarkowska, Magdalena; Bassini, Marco;Zamorano, Mariano Martin; Gligoric, Nenad;Kiss, Tamass; Juvonen, Mikko; Honing, Nadia; Zocchi, Chiara; Guiducci, Manuela
Intelligent Lesion Selection: A Novel Method for Longitudinal Assessment of Breast Cancer Lung Metastases
MIDL 2025 - POSTER· 2025
Melika Qahqaie, Veronika A Zimmer, Eduardo Castaneda, Katariina Peltonen, Joonas Laaksolilja, Juho Lähteenmaa, Tobias Heimann, Andreas Maier, Dominik Neumann
PP37 Guidance On Using Hospital-Based Real-World Evidence In Health Technology Assessments For Oncology
BMJopen· 2025
Zainab Al-Khayat, Nora Franzen, Valesca P. Retèl, Wim H. van Harten
Overall survival after CDK4/6 inhibitor dose reduction in women with metastatic breast cancer
BJC Reports· 2024DOI
Andreas Bjerrum, Andreas Frederik Henriksen, Ann Søegaard Knoop, Tobias Berg, Ida Elisabeth Viller Tuxen, Ulrik Lassen, Tonny Studsgaard Petersen
Putting data to work for precision medicine
Cell Reports Medicine· 2023DOI
Andreas Bjerrum, Ulrik Lassen
Other Results (1)
Periodic Reporting for period 1 - ONCOVALUE (Implementing value-based oncology care at European cancer hospitals: An AI-based framework for assessing real-life effectiveness of novel cancer therapies in real-time)
Deliverables (4)