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研究生: 王慶大
Wang, Ching-Da
論文名稱: 人為可靠度應用於醫療器材開發之策略執行路徑
Human Reliability Improvement Strategies for Medical Device Development
指導教授: 陳芃婷
Chen, Peng-Ting
學位類別: 碩士
Master
系所名稱: 工學院 - 生物醫學工程學系
Department of BioMedical Engineering
論文出版年: 2019
畢業學年度: 107
語文別: 英文
論文頁數: 89
中文關鍵詞: 醫療器材人因工程人為可靠度評估FIA-NRMDEMATEL
外文關鍵詞: Medical device, Human factor engineering, Human reliability assessment, DEMATEL
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  • 隨著科技的進步帶動了醫療器材的發展,醫療器材技術創新的同時,由於醫療器材使用錯誤所引起的傷害事件,也逐漸受到重視,如何確保和改善醫療設備的安全性和可靠性變得重要。許多醫療器材公司在於設計開發過程中未進行適當的人為可靠度評估,由於對人、環境、組織等因素考慮的不足,導致了不少人為錯誤的問題,因此,組織如何透過人為可靠度評估讓開發人員充分了解用戶安全是刻不容緩之議題。本研究由文獻中彙整人為因素相關資訊,並設計成半結構式訪談大綱,再以內容分析法與業界專家進行訪談,萃取出重要及適合於人為可靠度評估的準則。再將文獻與訪談彙整之準則設計成問卷,並使用決策試驗與實驗評估法(DEMATEL),建構(發生)頻率程度與(影響)衝擊程度之頻率衝擊分析(Frequency-Impact analysis, FIA),將透過網路關聯圖(Network Relation Map, NRM)分析來找出人為可靠度評估之因素間之相互影響關係,透過頻率衝擊分析與網路關聯圖分析(FIA-NRM)擬訂有效的人為可靠度評估之改善路徑,依據改善路徑之結果來擬定構面與因素之間的改善策略與執行順序。醫療器材公司可於初期產品設計開發過程即導入本研究之人為可靠度評估模式,以降低器材使用風險,提昇產品的可用性。

    Medical devices are flourishing thanks to the advances in technology and science. Meanwhile, the injuries caused by misusing the medical equipment have gradually received attention. How to ensure and improve the safety and reliability of medical devices become important. Many medical equipment companies do not perform appropriate human reliability assessments during the products design process. Owing to the lack of consideration to the factors such as user, environment, organization, etc., many human errors have occurred. Therefore, how to make organizations fully understand the user security through human reliability assessments is an urgent issue. This study collects information of human factors from the literature and we organized them into a semi-structured interview outline. Next, we interviewed some industrial experts by content analysis method to extract important and appropriate criteria for human reliability assessment. The criteria from the literature and interviews are then designed to be questionnaires, and the Decision Making Trial and Evaluation Laboratory methods (DEMATEL) are used to construct (frequency) impact analysis (Frequency-Impact analysis, FIA) and Network relationship map (NRM) analysis. It will be used to find out the interrelationship between factors of human reliability assessment. We can develop improved pathways for human reliability assessment through frequency-impact analysis and Network Relationship Map analysis (FIA-NRM). Based on the results of the improved pathways, the improved strategies and process orders between the dimensions and factors were built. The medical device company can adopt the human reliability assessment model of this research to the initial product design and development process in order to reduce the risk of use from the equipment and improve the product’s usability.

    摘要 I ABSTRACT II ACKNOWLEDGEMENT III LIST OF TABLES VI LIST OF FIGURES VII CHAPTER ONE INTRODUCTION 1 1.1 Research background 1 1.2 Research objective 2 1.3 Research value 3 1.4 Research process 3 CHAPTER TWO LITERATURE REVIEWS 6 2.1. Human factor 6 2.1.1 Human factors and use errors 6 2.1.2 Human factor engineering 8 2.2. Human reliability in medical device 10 2.2.1 Medical device definition and classifications 11 2.2.2 Medical device research and development process 13 2.2.3 Human reliability 15 2.3. The assessment of human reliability framework 17 2.3.1 User Action (UA) 17 2.3.2 Technical Capability (TC) 18 2.3.3 Use Environment (UE) 19 2.3.4 Organizational Characteristics (OC) 19 CHAPTER THREE RESEARCH METHODS 21 3.1. Research design 21 3.2. Content analysis 25 3.3. Decision making trial and evaluation laboratory (DEMATEL) 27 3.4. Frequency-Impact Analysis (FIA) and Network Relationship Map (NRM) 29 3.4.1 The analysis of FIA (Frequency impact analysis) 30 3.4.2 The analysis of NRM (Network relation map) 32 CHAPTER FOUR PRACTICAL STUDY AND RESULTS 33 4.1. Content Analysis 33 4.2. FIA-NRM model 37 4.2.1 Primary Dimensions. 39 4.2.2 User Action 43 4.2.3 Technical Capability 47 4.2.4 Use Environment 50 4.2.5 Organizational Characteristic 54 4.3 Discussion 59 4.3.1 Discussion of content analysis 59 4.3.2 Discussion of FIA-NRM model 66 4.3.3 Practical study and strategic advices 68 4.4 A practical case 71 CHAPTER FIVE CONCLUSIONS AND FUTURE RESEARCH 74 5.1. Conclusions 74 5.2. Theoretical Implications 76 5.3. Managerial Implications 78 5.4. Limitations and directions for future research 83 REFERENCES 84

    Callea, G., Armeni, P., Marsilio, M., Jommi, C., & Tarricone, R. (2017). The impact of HTA and procurement practices on the selection and prices of medical devices. Social Science & Medicine, 174, 89-95.
    Carayon, P., Xie, A., & Kianfar, S. (2014). Human factors and ergonomics as a patient safety practice. BMJ Quality & Safety, 23(3), 196-205.
    Chen, P.-T. (2018). Medical big data applications: Intertwined effects and effective resource allocation strategies identified through IRA-NRM analysis. Technological Forecasting and Social Change, 130, 150-164.
    Danielle, K. (2019). Focusing on usability can limit medical device recalls: Here’s how. Retrieved from https://www.massdevice.com/focusing-on-usability-can-limit-medical-device-recalls-heres-how/
    Deeter, J., & Rantanen, E. (2012). Human reliability analysis in healthcare. Paper presented at the Proceedings of Symposium on Human Factors and Ergonomics in Health Care.
    Elo, S., & Kyngas, H. (2008). The qualitative content analysis process. Journal of Advanced Nursing, 62(1), 107-115.
    Erdman, A. G., Keefe, D. F., & Schiestl, R. (2013). Grand challenge: Applying regulatory science and big data to improve medical device innovation. IEEE Transactions on Biomedical Engineering, 60(3), 700-706.
    FDA (2016). Applying Human Factors and Usability Engineering to Medical Devices. Retrieved from https://www.fda.gov/regulatory-information/search-fda-guidance-documents/applying-human-factors-and-usability-engineering-medical-devices
    FDA. (2011). Medical Device Innovation Initiative White Paper-CDRH Innovation Initiative.
    French, S., Bedford, T., Pollard, S. J., & Soane, E. (2011). Human reliability analysis: A critique and review for managers. Safety Science, 49(6), 753-763.
    Geremia, F. (2018). Quality aspects for medical devices, quality system and certification process. Microchemical Journal, 136, 300-306.
    Graneheim, U. H., & Lundman, B. (2004). Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness. Nurse Education Today, 24(2), 105-112.
    Grattan, D. D. J. (2018). Improving barrier effectiveness using human factors methods. Journal of Loss Prevention in the Process Industries, 55, 400-410.
    Guan, A., Hamilton, P., Wang, Y., Gorbet, M., Li, Z., & Phillips, K. S. (2017). Medical devices on chips. Nature Biomedical Engineering, 1(3), 0045.
    Hagedorn, T. J., Grosse, I. R., & Krishnamurty, S. (2015). A concept ideation framework for medical device design. Journal of Biomedical Informatics, 55, 218-230.
    Hsieh, H.-F., & Shannon, S. E. (2005). Three approaches to qualitative content analysis. Qualitative Health Research, 15(9), 1277-1288.
    Janetos, T. M., Ghobadi, C. W., Xu, S., & Walter, J. R. (2017). Overview of high-risk medical device recalls in obstetrics and gynecology from 2002 through 2016: implications for device safety. American Journal of Obstetrics and Gynecology, 217(1), 42-46. e41.
    Jarow, J. P., & Baxley, J. H. (2015). Medical devices: US medical device regulation. Paper presented at the Urologic Oncology: Seminars and Original Investigations.
    Jefferys, D. (2001). The regulation of medical devices and the role of the Medical Devices Agency. British Journal of Clinical Pharmacology, 52(3), 229-235.
    Kassarjian, H. H., & Kassarjian, W. M. (1988). The impact of regulation on advertising: A content analysis. Journal of Consumer Policy, 11(3), 269-285.
    Kirkire, M. S., Rane, S. B., & Jadhav, J. R. (2015). Risk management in medical product development process using traditional FMEA and fuzzy linguistic approach: a case study. Journal of Industrial Engineering International, 11(4), 595-611.
    Krippendorff, K. (2018). Content analysis: An introduction to its methodology: Sage publications.
    Lee, W.-S., Huang, A. Y., Chang, Y.-Y., & Cheng, C.-M. (2011). Analysis of decision making factors for equity investment by DEMATEL and Analytic Network Process. Expert Systems with Applications, 38(7), 8375-8383.
    Lin, Q.-L., Wang, D.-J., Lin, W.-G., & Liu, H.-C. (2014). Human reliability assessment for medical devices based on failure mode and effects analysis and fuzzy linguistic theory. Safety Science, 62, 248-256.
    Lyons, M., Adams, S., Woloshynowych, M., & Vincent, C. (2004). Human reliability analysis in healthcare: a review of techniques. International Journal of Risk & Safety in Medicine, 16(4), 223-237.
    Martilla, J. A., & James, J. C. (1977). Importance-performance analysis. Journal of Marketing, 41(1), 77-79.
    Martin, J. L., & Barnett, J. (2012). Integrating the results of user research into medical device development: insights from a case study. BMC Medical Informatics and Decision Making, 12(1), 74.
    Martin, J. L., Clark, D. J., Morgan, S. P., Crowe, J. A., & Murphy, E. (2012). A user-centred approach to requirements elicitation in medical device development: A case study from an industry perspective. Applied Ergonomics, 43(1), 184-190.

    Martin, J. L., Norris, B. J., Murphy, E., & Crowe, J. A. (2008). Medical device development: The challenge for ergonomics. Applied Ergonomics, 39(3), 271-283.
    Mitchell, R. J., Williamson, A., & Molesworth, B. (2015). Use of a human factors classification framework to identify causal factors for medication and medical device-related adverse clinical incidents. Safety Science, 79, 163-174.
    Money, A. G., Barnett, J., Kuljis, J., Craven, M. P., Martin, J. L., & Young, T. (2011). The role of the user within the medical device design and development process: medical device manufacturers' perspectives. BMC Medical Informatics and Decision Making, 11(1), 15.
    Onodera, R., & Sengoku, S. (2018). Innovation process of mHealth: An overview of FDA-approved mobile medical applications. International Journal of Medical Informatics, 118, 65-71.
    Peijl, V. d., Jorien, Klein, J., Grass, C., & Freudenthal, A. (2012). Design for risk control: the role of usability engineering in the management of use-related risks. Journal of Biomedical Informatics, 45(4), 795-812.
    Privitera, M. B., Evans, M., & Southee, D. (2017). Human factors in the design of medical devices–approaches to meeting international standards in the European Union and USA. Applied Ergonomics, 59, 251-263.
    Privitera, M. B., Southee, D., & Evans, M. (2015). Collaborative Design Processes in Medical Device Development. Paper presented at the The Value of Design Research-European Academy of Design Conference.
    Sametinger, J., & Rozenblit, J. W. (2016). Security Scores for Medical Devices. Paper presented at the HEALTHINF.

    Shah, S. G. S., Robinson, I., & AlShawi, S. (2009). Developing medical device technologies from users' perspectives: a theoretical framework for involving users in the development process. International Journal of Technology Assessment in Health Care, 25(4), 514-521.
    Sharples, S., Martin, J., Lang, A., Craven, M., O’Neill, S., & Barnett, J. (2012). Medical device design in context: A model of user–device interaction and consequences. Displays, 33(4-5), 221-232.
    Shieh, J.-I., Wu, H.-H., & Huang, K.-K. (2010). A DEMATEL method in identifying key success factors of hospital service quality. Knowledge-Based Systems, 23(3), 277-282.
    Stephan Buttron, (2017). The importance of human factors & usability engineering in medical devices. In European Market, Regulatory. Retrieved from https://www.namsa.com/european-market/human-factors-usability-engineering-in-medical-devices/
    Stern, A. D. (2017). Innovation under regulatory uncertainty: evidence from medical technology. Journal of Public Economics, 145, 181-200.
    Sujan, M. A., Embrey, D., & Huang, H. (2018). On the application of human reliability analysis in healthcare: opportunities and challenges. Reliability Engineering & System Safety.
    Swayze, S., & Rich, S. (2011). Promoting safe use of medical devices. OJIN: The Online Journal of Issues in Nursing, 17(1), 9.
    Tzeng, G.-H., Chiang, C.-H., & Li, C.-W. (2007). Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL. Expert Systems with Applications, 32(4), 1028-1044.

    Vaismoradi, M., Turunen, H., & Bondas, T. (2013). Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study. Nursing & Health Sciences, 15(3), 398-405.
    Vincent, C. J., & Blandford, A. (2014). The challenges of delivering validated personas for medical equipment design. Applied Ergonomics, 45(4), 1097-1105.
    Vincent, C. J., & Blandford, A. (2017). How do health service professionals consider human factors when purchasing interactive medical devices? A qualitative interview study. Applied Ergonomics, 59, 114-122.
    Wang, W.-C., Lin, Y.-H., Lin, C.-L., Chung, C.-H., & Lee, M.-T. (2012). DEMATEL-based model to improve the performance in a matrix organization. Expert Systems with Applications, 39(5), 4978-4986.

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