Healthcare Failure Mode and Effects Analysis Under Fuzziness

Cengiz Kahraman · İ̇hsan Kaya · Özlem Şenvar

54 citations0/0 files storedHuman and Ecological Risk Assessment An International Journal

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Multi-Criteria Decision Making Healthcare Quality and Management Risk and Safety Analysis

Abstract

Failure modes and effects analysis (FMEA) is a step-by-step approach for identifying all possible failures in a design, a manufacturing or assembly process, or a product or service. The purpose of the FMEA is to take actions to eliminate or reduce failures, starting with the highest-priority ones. This article presents a basis for prioritizing the healthcare problems using FMEA with linguistic variables and fuzzy if–then rules. Severity rating of healthcare problems is handled under the categories of catastrophic, major, moderate, and minor events. MATLAB 2007 is used to obtain the results of fuzzy if–then rules for prioritizing healthcare failures. A numerical example is given for four possible healthcare problems to be prioritized, which are wrong patient, delay in therapy, wrong analgesic selection, and wrong drug.

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References

2011Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP 2002Fuzzy assessment of FMEA for engine systems 2008Fuzzy Rule-Based Bayesian Reasoning Approach for Prioritization of Failures in FMEA 2010Risk Management in the Construction Industry Using Combined Fuzzy FMEA and Fuzzy AHP 2011Multiple failure modes analysis and weighted risk priority number evaluation in FMEA 2010Failure mode and effects analysis using fuzzy evidential reasoning approach and grey theory 2007Development of a fuzzy FMEA based product design system 2010Risk prioritization in failure mode and effects analysis under uncertainty

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