2020 IEEE International Conference on Software Architecture Companion (ICSA-C) 2020
DOI: 10.1109/icsa-c50368.2020.00040
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On Medical Device Software CE Compliance and Conformity Assessment

Abstract: Manufacturing of medical devices is strictly controlled by authorities, and manufacturers must conform to the regulatory requirements of the region in which a medical device is being marketed for use. In general, these requirements make no difference between the physical device, embedded software running inside a physical device. or software that constitutes the device in itself. As a result, standalone software with intended medical use is considered to be a medical device. Consequently, its development must … Show more

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Cited by 6 publications
(6 citation statements)
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“…Regulatory hurdles are a well-recognised bottleneck in time and cost for MD manufacturers (Bayon et al, 2016). The availability of regulatory authorities personnel and notified body (NB) services and resources can also be seen as a critical bottleneck in order to ensure that continuous maintenance activities can be performed in a timely manner and that submissions can be reviewedbut this service level is not often available (Granlund et al, 2020).…”
Section: Medical Device Industrymentioning
confidence: 99%
See 2 more Smart Citations
“…Regulatory hurdles are a well-recognised bottleneck in time and cost for MD manufacturers (Bayon et al, 2016). The availability of regulatory authorities personnel and notified body (NB) services and resources can also be seen as a critical bottleneck in order to ensure that continuous maintenance activities can be performed in a timely manner and that submissions can be reviewedbut this service level is not often available (Granlund et al, 2020).…”
Section: Medical Device Industrymentioning
confidence: 99%
“…CI has been used very widely in various organisations; however, its application in respect to regulated industries has not been studied to date in any great depth (Brown et al, 2008;Moore, 2016). Studies on CI in MedTech have acknowledged and discussed that the regulatory nature of the industry can be an obstacle to CI (Nicholas, 2019;Moore, 2016;Brown et al, 2008;Byrne et al, 2021;Bayon et al, 2016;Granlund et al, 2020). Furthermore, although organisations have widely implemented CI, sustaining the momentum of CI activities have been a challenge (Mauri et al, 2010;Zollo and Winter, 2002).…”
Section: Introductionmentioning
confidence: 99%
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“…However, this raises the question of the ML system's autonomous operation in relation to the safety and clinical performance in the medical device domain. As a result, the regulatory authorities have traditionally promoted the approach of "locked" algorithms [8,29], where the system is designed, so that it is being trained during the development phase, and the ability to improve is disabled in real-world use. The study by Feng et al investigated the problem of "locked" algorithms in the regulated medical space and proposed different policies for regulating modifications to AI/ML-based medical software systems [30].…”
Section: Regulatory Considerations For Ai/mlmentioning
confidence: 99%
“…Aside from the fact that Lean systems (LS) did not originate within the MedTech industry, this sector operates under a very stringent regulatory regime to ensure that its products are safe to use on their customers, many of whom are based in healthcare settings [16]. Globally regulatory bodies such as the European Medicine Agency (EMA) and the US Food and Drug Administration (FDA) amongst studies place stringent requirements on MedTech companies to ensure product safety in the design, manufacture, and use of medical devices.…”
Section: Introductionmentioning
confidence: 99%