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Related Experiment Video

Updated: Jun 23, 2025

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Investigating the Human Reliability in the Healthcare Sector Using the Fuzzy Analytic Network Process and the Success

Hossein Mahmoudi Sefidkouhi1, Esmaeil Najafi1, Alireza Haji2

  • 1Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Iranian Journal of Public Health
|June 26, 2024
PubMed
Summary

Human error in hospital emergency departments is significantly influenced by organizational, occupational, and personal factors. Further training is crucial to minimize risks, especially in tasks like checking test results and patient referrals.

Keywords:
Fuzzy analysis network processHealthcareHospital emergencyHuman reliability

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Area of Science:

  • Healthcare Management
  • Patient Safety
  • Human Factors Engineering

Background:

  • Human error poses a significant risk in hospital emergency departments.
  • Identifying contributing factors is crucial for improving patient safety and care quality.

Purpose of the Study:

  • To identify and analyze factors contributing to human error in hospital emergency departments.
  • To assess human reliability in emergency care settings.

Main Methods:

  • Utilized the Fuzzy Analytical Network Process (FANP) and Success Likelihood Index Method (SLIM).
  • Investigated human reliability across 54 emergency departments in Iran (2021-2022).
  • Analyzed 17 general factors affecting human errors.

Main Results:

  • Organizational (0.349), occupational (0.330), and personal (0.320) factors were the most significant contributors to human error.
  • "Checking test results and diagnosis" identified as a high-risk task, particularly during patient transfers.
  • A cumulative human error probability of 0.01332 was observed before disease diagnosis.

Conclusions:

  • FANP and SLIM effectively identified key factors contributing to human error.
  • Enhanced knowledge, experience, and responsibility for healthcare professionals are vital to reduce errors.
  • Implementing solutions to mitigate human error risks can improve hospital care quality.