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Interpretive structural modelling of risk sources in medical device development process

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Abstract

Development of new devices is known to bring substantial amount of revenues to medical device manufacturing companies, but is often a risky endeavour. The risks are stemmed from number of sources which have catastrophic effects on medical device development (MDD) process. This paper explores risk sources in MDD process. A model of interaction among these sources is developed based on contextual mutual relationships among them. The risk sources which can jeopardize the MDD processes in terms of cost, time of development and quality of device are identified primarily through experts’ opinions and literature review. The mutual relationship among them is established using interpretive structural modelling methodology. They are further classified based on the mutual influence and dependence using MICMAC analysis. The results show that the risk sources have mainly two groups; one has high dependence and low driving power representing the resulting actions. Another group has high driving power and low dependence indicating the need for systematic attention. Third group is of autonomous risk sources which are relatively disconnected from the system but are important when considered separately. This research is a unique effort and will be a lighthouse for the developers, decision makers and researchers to focus and deal with the risk sources which can impede the processes and may even result in harmful events related to devices. This study is focused on risk sources in MDD process but can be applied to product development in other areas to improve the development processes.

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References

  • Aguwa CC, Monplaisire L, Sylajakumari PA (2012) Rules modification on a fuzzy based modular architecture for medical device design and development. IIE Trans Healthc Syst Eng 2(1):50–61

    Article  Google Scholar 

  • Alawamleh M, Popplewell K (2011) Interpretive structural modelling of risk sources in a virtual organisation. Int J Prod Res 49(20):6041–6063

    Article  Google Scholar 

  • Attri R, Grover S, Dev N, Kumar D (2013a) An ISM approach for modelling the enablers in the implementation of total productive maintenance (TPM). Int J Syst Assur Eng Manag 4(4):313–326

    Article  Google Scholar 

  • Attri R, Grover S, Dev N, Kumar D (2013b) Analysis of barriers of total productive maintenance (TPM). Int J Syst Assur Eng Manag 4(4):365–377

    Article  Google Scholar 

  • Borade A, Bansod S (2012) Interpretive structural modelling-based framework for VMI adoption in Indian industries. Int J Adv Manuf Technol 58(9–12):1227–1242

    Article  Google Scholar 

  • Borcherding B (2013) Exposing risk throughout your product development lifecycle: best practices for medical device development. Free white paper

  • Braceras I, Ipinazar E, Maeztu MA, Alava JI (2008) Risk analysis and implants. Med Eng Phys 30(9):1201–1204

    Article  Google Scholar 

  • Chan SL, Ip WH, Zhang WJ (2012) Integrating failure analysis and risk analysis with quality assurance in the design phase of medical device development. Int J Prod Res 50(8):2190–2203

    Article  Google Scholar 

  • Chang AY, Hu KJ, Hong YL (2013) An ISM–ANP approach to identifying key agile factors in launching a new product into mass production. Int J Prod Res 51(2):582–597

    Article  Google Scholar 

  • Cheng S, Das D, Pecht M (2011) Using failure modes, mechanisms, and effects analysis in medical device adverse event investigations. In: Paper presented at international conference on biomedical ontology Buffalo, NY, USA

  • Ciurana J (2014) Designing, prototyping and manufacturing medical devices: an overview. Int J Comput Integr Manuf 27(10):901–918

    Article  Google Scholar 

  • Dankelman J (2010) Increasing complexity of medical technology and consequences for training and outcome of care. World Health Organisation Background Paper 4, pp 1–20

  • Diabat A, Govindan K, Panicker VV (2012) Supply chain risk management and its mitigation in a food industry. Int J Prod Res 50(11):3039–3050

    Article  Google Scholar 

  • Dubey R, Gunasekaran A, Chakrabarty A (2015) Ubiquitous manufacturing: overview, framework and further research directions. Int J Comput Integr Manuf. doi:10.1080/0951192X.2014.1003411

  • Faisal MN, Banwet DK, Shankar R (2006) Supply chain risk mitigation: modelling the enablers. Bus Process Manag J 12(4):535–552

    Article  Google Scholar 

  • Faisal MN, Banwet DK, Shankar R (2007) Information risks management in supply chains: an assessment and mitigation framework. J Enterp Inf Manag 20(6):677–699

    Article  Google Scholar 

  • FDA (1996) Do it by design—an introduction to human factors in medical devices

  • FDA (1997) Design control guidance for medical device manufacturers

  • FDA (2012) Quality system regulation labelling requirements. Accessed 27 Nov 2014

  • Hachicha W, Elmsalmi M (2014) An integrated approach based structural modelling for risk prioritization in supply network management. J Risk Res 17(10):1301–1324

    Article  Google Scholar 

  • ISO 14971: (2012) Medical devices—application of risk management to medical devices

  • Jadhav JR, Mantha SS, Rane SB (2014) Development of framework for sustainable Lean implementation: an ISM approach. J Ind Eng Int 10:72

    Article  Google Scholar 

  • Kumar S, Luthra S, Haleem A (2013) Customer involvement in greening the supply chain: an interpretive structural modelling methodology. J Ind Eng Int 9(6):1–13

    Google Scholar 

  • Lang AR, Martin JL, Sharples S, Crowe J, Murphy E (2014) Not a minor problem: involving adolescents in medical device design research. Theor Issues Ergon Sci 15(2):181–192

    Article  Google Scholar 

  • Lee CKM, Lv Y, Hong Z (2013) Risk modelling and assessment for distributed manufacturing system. Int J Prod Res 51(9):2652–2666

    Article  Google Scholar 

  • Lin QL, Wang DJ, Lin WG, Liu HC (2014) Human reliability assessment for medical devices based on failure mode and effect analysis and fuzzy linguistic theory. Saf Sci 62:248–256

    Article  Google Scholar 

  • Lindholm C, Host M (2009) Risk identification by physicians and developers—differences investigated in a controlled experiment. Paper presented at SEHC’09. Vancouver, Canada

  • Malhotra MK, Grover V (1998) An assessment of survey research in POM: from constructs to theory. J Oper Manag 16(4):407–425

    Article  Google Scholar 

  • Mandal A, Deshmukh SG (1994) Vendor selection using interpretive structural modeling (ISM). Int J Oper Prod Manag 14(6):52–59

    Article  Google Scholar 

  • Martin JL, Barnett J (2012) Integrating the results of user research into medical device development: insights from a case study. BMC Med Inform Decis Mak 12(74):1–10

    Google Scholar 

  • Martin JL, Murphy E, Crowe JA, Norris BJ (2006) Capturing user requirements in medical device development: the role of ergonomics. Psychol Meas 27(8):49–62

    Google Scholar 

  • Martin JL, Clark DJ, Morgan SP, Crowe JA, Murphy E (2012) A user centred approach to requirements elicitation in medical device development: a case study from an industry perspective. Appl Ergon 43(1):184–190

    Article  Google Scholar 

  • Medina LA, Kremer GE, Wysk RA (2012) Supporting medical device development: a standard product design process model. J Eng Des 24(2):1–37

    Google Scholar 

  • Mishra S, Datta S, Mahapatra SS (2012) Interrelationship of drivers for agile manufacturing: an Indian experience. Int J Serv Oper Manag 11(1):35–48

    Google Scholar 

  • Mol BAD (2014) Regulation of risk management of medical devices and the role of litigation. J Risk Res 17(6):735–748

    Article  Google Scholar 

  • Panahifar F, Byrne PJ, Heavey C (2014) ISM analysis of CPRF implementation barriers. Int J Prod Res 52(18):5255–5272

    Article  Google Scholar 

  • Pietzsch JB, Shluzas LA, Paté-Cornell ME, Yock PG, Linehan JH (2009) Stage-gate process for the development of medical devices. J Med Devices 3(2):021004–021015

    Article  Google Scholar 

  • Pizzuto R (2014) Integrating ISO 14971 risk analysis into the product development process

  • Racine J (2013) Orthopedic medical devices: ethical questions, implant recalls and responsibility. Rhode Isl Med J 96(6):16–19

    Google Scholar 

  • Raj T, Shankar R, Suhaib M (2008) An ISM approach for modelling the enablers of flexible manufacturing system: the case for India. Int J Prod Res 46(24):6883–6912

    Article  Google Scholar 

  • Ravi V, Shankar R (2005) Analysis of interactions among the barriers of reverse logistics. Technol Forecast Soc Change 72(8):1011–1029

    Article  Google Scholar 

  • Sastry C, Gordon M, Musso C, Ramaswamy S (2010) Design to value in medical devices. Mckinsey & Company, New York

    Google Scholar 

  • Schmland C (2005) Value-added medical-device risk management. Dev Mater Reliab IEEE Trans 5(3):488–493

    Article  Google Scholar 

  • Shah SGS, Robinson I (2007) Benefits and barriers to involving users in medical device technology development and evaluation. Int J Tech Assess Health Care 23(1):131–137

    Article  Google Scholar 

  • Shah SGS, Robinson I, AlShawi S (2009) Developing medical device technologies from users’ perspectives: a theoretical framework for involving users in the development process. Int J Technol Assess Health Care 25(4):514–521

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported by All India Council for Technical Education (AICTE) under Grant Ref No. 20/AICTE/RIFD/RPS (POLICY-1) 61/2013-14. The authors are grateful to the concerned authorities and the MDD experts who contributed to this study. The authors express sincere thanks to the anonymous reviewers for their valuable suggestions to improve quality of this paper. The authors also express thanks to the editor and his team for the continuous guidance and support for this work.

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Correspondence to Milind Shrikant Kirkire.

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Rane, S.B., Kirkire, M.S. Interpretive structural modelling of risk sources in medical device development process. Int J Syst Assur Eng Manag 8 (Suppl 1), 451–464 (2017). https://doi.org/10.1007/s13198-015-0399-6

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  • DOI: https://doi.org/10.1007/s13198-015-0399-6

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