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MDCG 2019-16 Guidelines: Case Study-Based Assessment and Path Forward

Authors: Christos Androutsos; Steve Taylor 0002; Karin Bernsmed; Andrea Neverdal Skytterholm; Gregory Epiphaniou; Nabil Moukafih; Theodoros N. Arvanitis; +14 Authors

MDCG 2019-16 Guidelines: Case Study-Based Assessment and Path Forward

Abstract

The Medical Device Coordination Group (MDCG) 2019-16 guidelines provide a structured framework for cybersecurity in Connected Medical Devices (CMDs) throughout their lifecycle, offering guidance on how to fulfil all the relevant essential requirements outlined in Annex I of both the Medical Device Regulation (MDR) and the In Vitro Diagnostic Medical Devices Regulation (IVDR). This paper evaluates the practical applicability and limitations of these guidelines based on feedback from six Horizon Europe (HEU) projects. Each project employed case studies reflecting diverse CMD environments and operational contexts to assess the guidelines’ relevance and effectiveness in real-words scenarios. The paper identifies gaps in the practical application of the guidelines and explores their impact on different stages of the CMD lifecycle, from design and development to deployment and post-market activities. Based on these findings, the paper proposes targeted recommendations aimedat enhancing the usability and effectiveness of the MDCG 2019-16 guidelines. The insights contribute to the ongoing evolution of cybersecurity practices in medical technology, ensuring the guidelines are better aligned with the needs of CMD stakeholders, including manufacturers, integrators, and operators, while supporting the development of more resilient and secure medical devices.

Keywords

Medical Device Coordination Group · Cybersecurity · Medical Devices.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green