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Medical digital twins (MDTs) can support health professionals in many ways, such as in achieving a more precise diagnosis or in developing better treatment plans. For that, MDTs will need to process patients’ data from multiple sources and will have to govern access to that data by health professionals from multiple institutions, and at the same time support collaboration and data sharing between them. This raises questions regarding trust and the security of processing. We illustrate two medical use cases where MDTs can have a significant impact and discuss the security scope of our MDTs.

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Secure Medical Digital Twins: A Use-Case Driven Approach

  • 会议论文

  • 发表日期：

    2026年

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  • Salmah Ahmad,
  • Bianca Bartelt,
  • Matthias Enzmann,
  • Jörn Kohlhammer,
  • Stefan Wesarg,
  • Ruben Wolf

摘要

Medical digital twins (MDTs) can support health professionals in many ways, such as in achieving a more precise diagnosis or in developing better treatment plans. For that, MDTs will need to process patients’ data from multiple sources and will have to govern access to that data by health professionals from multiple institutions, and at the same time support collaboration and data sharing between them. This raises questions regarding trust and the security of processing. We illustrate two medical use cases where MDTs can have a significant impact and discuss the security scope of our MDTs.