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Original Article

A Study on Failure Mode and Effect Analysis (FMEA) for Preoperative Risk Prevention

Journal of Korean Academy of Nursing Administration 2016;22(5):415-423.
Published online: December 31, 2016

Department of Nursing, Konyang University, Korea.

Corresponding author: Lee, Mi Hyang. Department of Nursing, Konyang University, 158 Kwanjeodong-ro, Seo-gu, Daejeon 35365, Korea. Tel: +82-42-600-6349, Fax: +82-42-600-6314, haha9453@hanmail.net
• Received: April 26, 2016   • Revised: September 1, 2016   • Accepted: October 8, 2016

Copyright © 2016 Korean Academy of Nursing Administration

This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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  • Purpose
    The purpose of this research was to provide patients with safe preoperative preparatory procedures by removing any risk factors from the preparatory procedures by using failure mode and effects analysis, which is a prospective risk-managing tool.
  • Methods
    This was a research design in which before and after conditions of a single group were studied, Failure mode and effects analysis were applied for the preparatory procedures done before operations.
  • Results
    The preparation omission rate before the operation decreased from 2.70% to 0.04%, and operation cancellation rate decreased from 0.48% to 0.08%.
  • Conclusion
    Failure mode and effects analysis which remove any risk factors for patients in advance of the operation is effective in preventing any negligent accidents.
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Figure 1

Preoperative process

jkana-22-415-g001.jpg
Table 1

Scoring System for Severity, Frequency of Occurrence and Detection to Input into Failure Mode and Effects Analysis

jkana-22-415-i001.jpg
Table 2

Risk Probability Number (RPN) of 4 Failure Modes

jkana-22-415-i002.jpg

Note. The risk priority number (RPN) was calculated by multiplying S, O and D scores.

S=Severity; O=Occurrence; D=Detection; RPN=Risk priority number.

Table 3

Improvement Activities for the Elimination of Potential Risk Factors in Pre-operational Process

jkana-22-415-i003.jpg
Table 4

Effects of Applying Failure Mode and Effects Analysis (FMEA)

jkana-22-415-i004.jpg

Figure & Data

References

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    • Assessment of Radiation Safety Incident Risk Factors in Radiation Oncology Department Using the P-mSHEL Factor Analysis Model
      Young-Lock Kim, Dae-Gun Kim, Jae-Hong Jung
      Journal of Radiological Science and Technology.2024; 47(4): 287.     CrossRef

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    J Korean Acad Nurs Adm. 2016;22(5):415-423.   Published online December 31, 2016
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    J Korean Acad Nurs Adm. 2016;22(5):415-423.   Published online December 31, 2016
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    A Study on Failure Mode and Effect Analysis (FMEA) for Preoperative Risk Prevention
    Image
    Figure 1 Preoperative process
    A Study on Failure Mode and Effect Analysis (FMEA) for Preoperative Risk Prevention

    Scoring System for Severity, Frequency of Occurrence and Detection to Input into Failure Mode and Effects Analysis

    Risk Probability Number (RPN) of 4 Failure Modes

    Note. The risk priority number (RPN) was calculated by multiplying S, O and D scores.

    S=Severity; O=Occurrence; D=Detection; RPN=Risk priority number.

    Improvement Activities for the Elimination of Potential Risk Factors in Pre-operational Process

    Effects of Applying Failure Mode and Effects Analysis (FMEA)

    Table 1 Scoring System for Severity, Frequency of Occurrence and Detection to Input into Failure Mode and Effects Analysis

    Table 2 Risk Probability Number (RPN) of 4 Failure Modes

    Note. The risk priority number (RPN) was calculated by multiplying S, O and D scores.

    S=Severity; O=Occurrence; D=Detection; RPN=Risk priority number.

    Table 3 Improvement Activities for the Elimination of Potential Risk Factors in Pre-operational Process

    Table 4 Effects of Applying Failure Mode and Effects Analysis (FMEA)

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