Journal article

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

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

RELIABILITY ENGINEERING & SYSTEM SAFETY | ELSEVIER SCI LTD | Published : 2018

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 hybr..

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University of Melbourne Researchers

Grants

Awarded by Department of Health


Funding Acknowledgements

The study was funded by the National Institute for Health Research (NIHR) Imperial Patient Safety Translational Research Centre. Sevdalis' research was supported by the National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care South London at King's College Hospital NHS Foundation Trust. Sevdalis is a member of King's Improvement Science, which is part of the NIHR CLAHRC South London and comprises a specialist team of improvement scientists and senior researchers based at King's College London. Its work is funded by King's Health Partners (Guy's and St Thomas' NHS Foundation Trust, King's College Hospital NHS Foundation Trust, King's College London and South London and Maudsley NHS Foundation Trust), Guy's and St Thomas' Charity, the Maudsley Charity and the Health Foundation. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health (grant number IS_CLA_0113_1002).