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On the need for revising healthcare failure mode and effect analysis for assessing potential for patient harm in healthcare processes

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  • Abrahamsen, HÃ¥kon Bjorheim
  • Abrahamsen, Eirik Bjorheim
  • Høyland, Sindre

Abstract

Healthcare Failure Mode and Effect Analysis is a proactive, systematic method adapted from safety-critical industries increasingly used to assess the potential for patient harm in high-risk healthcare processes. In this paper we review and discuss this method. We point to some weaknesses and finally argue for two adjustments. One adjustment is regarding the way in which risk is evaluated, and the other is to adopt a broader evaluation of barrier performance. Examples are given from prehospital critical care and from the operating room environment within hospitals to illustrate these ideas.

Suggested Citation

  • Abrahamsen, HÃ¥kon Bjorheim & Abrahamsen, Eirik Bjorheim & Høyland, Sindre, 2016. "On the need for revising healthcare failure mode and effect analysis for assessing potential for patient harm in healthcare processes," Reliability Engineering and System Safety, Elsevier, vol. 155(C), pages 160-168.
    • Handle: RePEc:eee:reensy:v:155:y:2016:i:c:p:160-168
    DOI: 10.1016/j.ress.2016.06.011
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    Cited by:

    1. Zhen Wang & Rongxi Wang & Wei Deng & Yong Zhao, 2022. "An Integrated Approach-Based FMECA for Risk Assessment: Application to Offshore Wind Turbine Pitch System," Energies, MDPI, vol. 15(5), pages 1-25, March.
    2. Liu, Jintao & Schmid, Felix & Zheng, Wei & Zhu, Jiebei, 2019. "Understanding railway operational accidents using network theory," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 218-231.
    3. Faiella, Giuliana & Parand, Anam & Franklin, Bryony Dean & Chana, Prem & Cesarelli, Mario & Stanton, Neville A. & Sevdalis, Nick, 2018. "Expanding healthcare failure mode and effect analysis: A composite proactive risk analysis approach," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 117-126.
    4. Hernandez-Perdomo, Elvis & Guney, Yilmaz & Rocco, Claudio M., 2019. "A reliability model for assessing corporate governance using machine learning techniques," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 220-231.
    5. Thanh-Lam Nguyen & Ming-Hung Shu & Bi-Min Hsu, 2016. "Extended FMEA for Sustainable Manufacturing: An Empirical Study in the Non-Woven Fabrics Industry," Sustainability, MDPI, vol. 8(9), pages 1-14, September.
    6. Peter Chemweno & Liliane Pintelon, 2020. "A comparative risk assessment of dialysis care processes in the home and hospital care contexts," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(5), pages 985-1002, October.
    7. Ferenc Bognár & Csaba Hegedűs, 2022. "Analysis and Consequences on Some Aggregation Functions of PRISM (Partial Risk Map) Risk Assessment Method," Mathematics, MDPI, vol. 10(5), pages 1-19, February.
    8. Li, Ying & Liu, Peide & Li, Gang, 2023. "An asymmetric cost consensus based failure mode and effect analysis method with personalized risk attitude information," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    9. Huang, Jia & Li, Zhaojun(Steven) & Liu, Hu-Chen, 2017. "New approach for failure mode and effect analysis using linguistic distribution assessments and TODIM method," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 302-309.
    10. Wang, Qun & Jia, Guozhu & Jia, Yuning & Song, Wenyan, 2021. "A new approach for risk assessment of failure modes considering risk interaction and propagation effects," Reliability Engineering and System Safety, Elsevier, vol. 216(C).

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