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Evaluating Surgical Risk Using FMEA and MULTIMOORA Methods under a Single-Valued Trapezoidal Neutrosophic

Peng-Fei Cheng1,2, Dan-Ping Li1, Ji-Qun He3,4

  • 1School of Business, Hunan University of Science and Technology, Xiangtan 411201, People's Republic of China.

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This summary is machine-generated.

This study introduces a hybrid Failure Mode and Effect Analysis (FMEA) model using the MULTIMOORA method in a neutrosophic environment to identify critical surgical risks. Unclear diagnosis emerged as the most significant failure mode, highlighting areas for improved patient safety.

Keywords:
MULTIMOORAbest–worst methodfailure mode and effect analysissingle-valued trapezoidal neutrosophic numberssurgical process

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Area of Science:

  • Healthcare Management
  • Risk Assessment
  • Surgical Safety

Background:

  • Human errors in surgical operations pose significant risks to patient recovery and safety.
  • Effective risk evaluation of surgical processes is crucial for maintaining quality and patient trust.
  • Failure Mode and Effect Analysis (FMEA) is a prospective method for identifying and evaluating potential surgical failures.

Purpose of the Study:

  • To propose a hybrid surgical risk-evaluation model integrating FMEA and the MULTIMOORA method.
  • To identify and rank critical risk points within surgical processes.
  • To analyze potential solutions for mitigating identified surgical risks.

Main Methods:

  • A Failure Mode and Effect Analysis (FMEA) team was formed with hospital domain experts.
  • Single-valued trapezoidal neutrosophic numbers (SVTNNs) were employed for evaluating risk factors.
  • The Best-Worst Method and Entropy Method determined comprehensive weights for risk factors.
  • The SVTNN-MULTIMOORA method was applied to calculate the risk-priority order of failure modes.

Main Results:

  • The hybrid FMEA-SVTNN-MULTIMOORA model ranked the severity of 21 failure modes in the surgical process.
  • An unclear diagnosis was identified as the most critical failure mode in the studied hospital.
  • The model effectively prioritized risks within the surgical workflow.

Conclusions:

  • The proposed hybrid model effectively identifies and evaluates critical potential failure modes in surgical processes.
  • Implementation of this model can assist hospitals in reducing surgical risks.
  • The study contributes to improving overall surgical safety and patient outcomes.