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Expanding healthcare failure mode and effect analysis: A composite proactive risk analysis approach

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  • Faiella, Giuliana
  • Parand, Anam
  • Franklin, Bryony Dean
  • Chana, Prem
  • Cesarelli, Mario
  • Stanton, Neville A.
  • Sevdalis, Nick

Abstract

Healthcare Failure Mode and Effect Analysis (HFMEA) is a systematic risk assessment method derived from high risk industries to prospectively examine complex healthcare processes. Like most methods, HFMEA has strengths and weaknesses. In this paper we provide a review of HFMEA's limitations and we introduce an expanded version of traditional HFMEA, with the addition of two safety management techniques: Systematic Human Error Reduction and Prediction Analysis (SHERPA) and Systems-Theoretic Accident Model and Processes – Systems-Theoretic Process Analysis (STAMP-STPA). The combination of the three methodologies addresses significant HFMEA limitations. To test the viability of the proposed hybrid technique, we applied it to assess the potential failures in the process of administration of medication in the home setting. Our findings suggest that it is both a viable and effective tool to supplement the analysis of failures and their causes. We also found that the hybrid technique was effective in identifying corrective actions to address human errors and detecting failures of the constraints necessary to maintain safety.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:reensy:v:169:y:2018:i:c:p:117-126
    DOI: 10.1016/j.ress.2017.08.003
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    4. Mahajan, Haneet Singh & Bradley, Thomas & Pasricha, Sudeep, 2017. "Application of systems theoretic process analysis to a lane keeping assist system," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 177-183.
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    3. Jian Wu & Jun Chen & Wei Liu & Yujia Liu & Changyong Liang & Mingshuo Cao, 2022. "A Calibrated Individual Semantic Based Failure Mode and Effect Analysis and Its Application in Industrial Internet Platform," Mathematics, MDPI, vol. 10(14), pages 1-22, July.
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    5. Jing Xiao & Xiuli Wang & Hengjie Zhang, 2022. "Exploring the Ordinal Classifications of Failure Modes in the Reliability Management: An Optimization-Based Consensus Model with Bounded Confidences," Group Decision and Negotiation, Springer, vol. 31(1), pages 49-80, February.
    6. Moath Alrifaey & Tang Sai Hong & Eris Elianddy Supeni & Azizan As’arry & Chun Kit Ang, 2019. "Identification and Prioritization of Risk Factors in an Electrical Generator Based on the Hybrid FMEA Framework," Energies, MDPI, vol. 12(4), pages 1-22, February.
    7. Juntao Zhang & Hyungju Kim & Yiliu Liu & Mary Ann Lundteigen, 2019. "Combining system-theoretic process analysis and availability assessment: A subsea case study," Journal of Risk and Reliability, , vol. 233(4), pages 520-536, August.
    8. Zhou, Ying & Li, Chenshuang & Zhou, Cheng & Luo, Hanbin, 2018. "Using Bayesian network for safety risk analysis of diaphragm wall deflection based on field data," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 152-167.
    9. Shin, Sung-Min & Lee, Sang Hun & Shin, Seung Ki & Jang, Inseok & Park, Jinkyun, 2021. "STPA-Based Hazard and Importance Analysis on NPP Safety I&C Systems Focusing on Human–System Interactions," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
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