The rapid digital transformation of healthcare—driven by eHealth, AI, IoT, and other emerging technologies—offers significant advancements in patient care, diagnostics, and operational efficiency. However, this evolution also introduces critical challenges in safeguarding the security and privacy of sensitive medical data. This special track examines the intersection of technological innovation, societal expectations, and legal compliance to create robust, secure, and privacy-preserving healthcare systems.

This track aims to advance cutting-edge research and practical solutions for embedding technical security and privacy measures into the design of digital health systems. At the same time, it addresses legal complexities, such as compliance with regulations like GDPR and HIPAA, and it fosters transparency, and building trust among stakeholders while ensuring solutions meet both technical and ethical standards. A key focus is on developing solutions that align with privacy principles while meeting technical requirements for robustness, scalability, and usability.

Key areas of interest include the development of privacy-enhancing technologies (PETs) to empower stakeholders with data control, explainable AI for trustworthy decision-making, and legally compliant tools that support data subject rights. The track also explores the usability challenges of technologies such as medical IoT and large language models (LLMs) in healthcare, alongside ethical dilemmas in managing and utilizing healthcare data.

By bringing together experts from diverse disciplines—technology, healthcare, policy, and social science to name a few— this track seeks to advance holistic approaches to securing digital health systems that balance innovation with responsible healthcare data management.

Topics of interest

  • Security and Privacy by Design in healthcare systems, emphasizing proactive integration of security and privacy measures.
  • Robust and scalable security and privacy mechanisms, ensuring the protection of healthcare systems against evolving threats.
  • Explainable and trustworthy mechanisms to improve transparency and user trust in healthcare technologies.
  • Privacy-enhancing technologies (PETs) enabling stakeholders to manage their health data effectively.
  • Usable tools supporting data subject rights, including consent management, access, rectification, and erasure.
  • Privacy and security challenges of IoT, large language models (LLMs), and AI applications in healthcare, alongside potential solutions.
  • Interdisciplinary approaches integrating legal, technological, and societal perspectives for secure and privacy-respecting healthcare systems.
  • Legal, ethical, and compliance frameworks addressing privacy regulations and fostering trust in healthcare systems.
  • Frameworks and tools for secure access to health data for both private and public stakeholders.
  • Privacy and security considerations for public and private health data sources in a rapidly evolving digital landscape

Expected types of contributions

We welcome submissions that present original, unpublished research addressing the themes of our special track, Security and Privacy in Health Systems—Addressing Technology, Society, and Law. Submissions should contribute to advancing technical, societal, or legal aspects of privacy and security in healthcare systems.

We only accept regular papers: Submissions must present original research and be limited to 6 pages. However, following the regulations for Regular Papers in CBMS, it is possible to extend the paper length up to 8 pages by paying for each extra page. Check fees for more information.

Organizers

  • Leornardo Iwaya, Karlstad University, Sweden
  • Farzaneh Karegar, Karlstad University, Sweden
  • Sana Rouis Skandrani, Karlstad University, Sweden

Program Committee

  • Sokratis Katsikas, Norwegian University of Science and Technology (NTNU), Norway
  • Saturnino Luz, University of Edinburgh, UK
  • Alejandro Rodriguez Gonzalez, Technical University of Madrid, Spain
  • Orhan Ermis, University of Luxemburg, Luxemburg
  • Melek Önen, EUROCOM, France
  • Ina Schiering, Ostfalia, Germany
  • John Sören Pettersson, Karlstad University, Sweden
  • Bridget Kane, Karlstad University, Sweden
  • Fasih Haider, University of Edinburgh, UK
  • Lothar Fritsch, OsloMet, Norway
  • João R. Almeida, University of Aveiro, Portugal
  • Samuel Wairimu, Karlstad University, Sweden
  • Nurul Momen, Blekinge Institute of Technology, Sweden

Contact

For more information, please visit the IEEE CBMS 2025 website at https://2025.cbms-conference.org/ or contact the track chairs at farzaneh [dot] karegar [at] kau [dot] se.

Call for papers

You can download Call for papers here.