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Verification of the Effectiveness of Risk Management in the Medical Device Industry

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Systems, Software and Services Process Improvement (EuroSPI 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 896))

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Abstract

The Risk Management standard ISO 14971 has been used in the medical device sector for many years, and offers or suggests many techniques, for evaluating, analysing and reducing risks, but how effective is each of these techniques and at which stage of the life cycle should one choose a given technique. There is now in the medical device sector a much greater emphasis on risk management driven by recent standards updates and the appearance on the EU Medical Device Regulation [1]. The MDR has placed a much greater emphasis on post market surveillance, however post-market surveillance in itself is often a rather long-term activity and many problems may arise long before sufficient metrics can be gathered to identify the issues through a post market approach. ISO 14971:2007 [2] does advocate eight sources of assessing risks and by using a wider set of techniques organisations can gain a better estimate of risk and additionally a more accurate output from the risk management process.

In this paper, we discuss the aspects in which the risk management techniques used in medical device industry could be improved based on what are industries are doing to manage risks and decrease possible failures.

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References

  1. Regulation (EU) 2017/… of the European parliament and of the Council on medical devices, amending Directive 2001/83/EC, Regulation (EC) No. 178/2002 and Regulation (EC) No. 1223/2009 and repealing Council Directives 90/385/EEC and 93/42/EEC

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  2. ISO 14971:2007 Medical devices - Application of risk management to medical devices

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  3. FDA – Manufacturer and User Facility Device Experience database. www.accessdata.fda.gov

  4. IEC TR 62380:2004 Reliability data handbook – Universal model for reliability prediction of electronics components, PCBs and equipment

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  5. Siemens SN 29500 Failure rates of components

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  6. Handbook of Reliability Prediction Procedures for Mechanical Equipment NSWC-11

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  7. IEC 62304:2015 (Ed 1.1) Medical device software – Software life cycle processes

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  8. ISO 26262:2018 Road Vehicles - Functional safety

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  9. DO-330/ED-215 Software Tools Qualification Considerations

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Correspondence to Alastair Walker .

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Riess, A., Lepmets, M., McKechnie, S., Walker, A. (2018). Verification of the Effectiveness of Risk Management in the Medical Device Industry. In: Larrucea, X., Santamaria, I., O'Connor, R., Messnarz, R. (eds) Systems, Software and Services Process Improvement. EuroSPI 2018. Communications in Computer and Information Science, vol 896. Springer, Cham. https://doi.org/10.1007/978-3-319-97925-0_31

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  • DOI: https://doi.org/10.1007/978-3-319-97925-0_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-97924-3

  • Online ISBN: 978-3-319-97925-0

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