RAISE Suite is organizing a Special Track under the 39th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2026) entitled

    Management and Quality of Data Lifecycle in Health and Medicine

    Submission Deadline: 20 February 2026

    Description

    Every day, vast amounts of health and medical data are generated—from hospital information systems and laboratory results to data collected through wearables, sensors, and mobile health applications. These diverse data sources hold enormous potential to improve healthcare services, enable personalized care, and foster evidence-based innovation. Yet, their full value remains largely untapped due to persistent challenges in data quality, interoperability, accessibility, ethical governance, and compliance with European legislation.

    This special track focuses on the complete lifecycle of health and medical data, exploring how data can be responsibly collected, managed, shared, and reused to drive meaningful impact in healthcare. We invite researchers, clinicians, innovators, and policymakers to contribute approaches, frameworks, and case studies that demonstrate how real-world data can be transformed into actionable insights supporting research, clinical decision-making, and healthcare innovation.

    Contributions are particularly encouraged to highlight practical experiences and solutions aligned with European frameworks such as the GDPR, the AI Act, and the European Health Data Space.

    Topics of Interest
    • Real-world data collection and management in clinical and community settings
    • Sensors, tools and methods for high quality data collection
    • Integration of health and medical data from multiple sources (EHRs, wearables, IoT, registries)
    • Data formatting, standardization, and interoperability frameworks
    • Handling imperfect, multimodal, and multivariate datasets
    • Data integrity, quality assurance, and validation
    • Ethical, legal, and social aspects of data collection, curation, use and reuse
    • Compliance with European Health Data Space and AI regulations
    • Security, privacy, and trustworthy data governance
    • Data sharing, secondary data use, Open Science and FAIR principles
    • Frameworks for data-informed healthcare innovation and decision-making
    • Case studies demonstrating real-world impact through effective data use
    • Synthetic data generation and use for research
    • Ensuring data quality and trustworthiness to mitigate bias in AI solutions
    • Living Labs and other real-world experimentation environments for high-quality data collection and validation
    Organizers

    Evdokimos Konstantinidis, Asst. Prof of Digital, Technological and Open Innovation in Health, Lab of Medical Physics & Digital Innovation, School of Medicine, Aristotle University of Thessaloniki (AUTH)

    Panagiotis Bamidis, Professor of Medical Physics, Informatics and Medical Education, Director of the Lab of Medical Physics and Digital Innovation, School of Medicine, Aristotle University of Thessaloniki (AUTH), Greece

    Despoina Petsani, Research Associate, Lab of Medical Physics and Digital Innovation, School of Medicine, Aristotle University of Thessaloniki (AUTH), Greece

    Program committee members:

    Gorka Epelde, Data Coordinator, Biogipuzkoa- Osakidetza, Spain

    Alexandros Chatzigeorgiou, Professor, Vice Rector of Extroversion and International Relations, Department of Applied Informatics, University of Macedonia

    Andreas Symeonidis, Professor of Software Engineering, School of Electrical and Computer Engineering, Aristotle University of Thessaloniki (AUTH), Greece

    Sara Ahmed, Professor, Faculty of Medicine and Health Sciences, McGill University, Canada

    Eva Kehayia, Associate Professor, Director of Research, School of Physical and Occupational Therapy, McGill University, Canada

    Antonis Billis, Postdoctoral Research Associate, Lab of Medical Physics and Digital Innovation, School of Medicine, Aristotle University of Thessaloniki (AUTH), Greece

    Christos Chatzichristos, Postodoctoral Researcher, Ku Leuven, Belgium

    Panagiotis Sarigiannidis, Professor, Department of Electrical and Computer Engineering, University of Western Macedonia, Greece

    Dorra Rakia Allegue, Postodoctoral Fellow, Faculty of Medicine and Health Sciences, McGill University, Canada

    Submission Guidelines:

    Papers must be submitted electronically using the EasyChair conference management system here (https://easychair.org/conferences/?conf=ieeecbms2026). Please select the option “Special Track – Management and Quality of Data Lifecycle in Health and Medicine” when making the submission.

    All submissions will be peer-reviewed at least by two Program Committee members.

    All accepted papers will be included in the conference proceedings and will be published by IEEE Xplore.

    Publication in proceedings is conditioned to the registration and presentation of the paper at the conference by one of the authors.

    The Special Track accepts Regular papers. The length of the contribution is limited to 6 pages, but it is possible to extend the paper length up to 8 pages by paying for each extra page. Check fees for more information.

    Each contribution must be prepared following the IEEE two-column format, whose template is available at https://www.ieee.org/conferences/publishing/templates.html. The authors may choose LaTeX or Microsoft Word templates.

    Data and code availability:

    Authors are strongly encouraged to ensure transparency and reproducibility of their work by making their data, code, and analysis procedures available. To facilitate this, authors are invited to register their analysis and related materials in the RAISE Portal, in line with open research and data availability policies.

    The RAISE Portal can be accessed at: https://portal.raise-science.eu/.
    Guidelines and documentation on how to use the portal are available here: https://documentation.raise-science.eu/.

    For any questions regarding data or code registration, please contact publications@raise-science.eu

    General Deadlines

    • Paper submission deadline: February 20, 2026 (AoE)
    • Notification of acceptance: April 10, 2026
    • Camera-ready due: April 24, 2026
    Special Issue:

    Accepted papers will be invited to submitted an extended version of their work on a Special Issue. More information will follow soon.