Volume 6, Issue 3 ( Iranian Journal of Ergonomics 2018)                   J Ergon 2018, 6(3): 0-0 | Back to browse issues page

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Mohammadfam I, Eskandari T, Farokhzad M. Evaluation and analysis of human error in the use of equipment using PUEA technique and fuzzy logic. J Ergon. 2018; 6 (3)
URL: http://journal.iehfs.ir/article-1-578-en.html
Occupational health and safety research center, Occupational health engineering department, School of public health, Hamadan University of Medical Sciences, Hamadan, Iran. , maryamfarokhzad@yahoo.com
Abstract:   (857 Views)
Introduction: The main cause of incidents is human error. The occurrence of these errors in the use of medical equipment can result in harm to the patient, the destruction of equipment, the imposition of economic damages, and the deterioration of the credentials of the health sectors. Hence, the identification, evaluation and management of errors in the use of these equipment is very critical. The present study was conducted to reduce the risk of human errors in using a medical device in one of the hospitals in Iran.
Materials & Methods: The study system was a ventilator device, which was selected for the study considering the high usage and the criticality of its use in the hospital. Identification and evaluation of human error were performed using the PUEA technique, as well as quantification of errors, and reduction of uncertainty in estimating the significance of detected human errors using fuzzy logic.
Results: Based on the findings, 33 errors were detected in the use of the ventilator device. The most common types of errors were the type of error in operation. (72.72%). The most important causes of errors were Slips and lapses (42.42%). The main primary consequences for the predicted errors were the sterilization of the device and the possibility of transmission of the microbe to the patient. In 42.42% of the cases, errors were not recoverable. The results of the PUEA technique and fuzzy logic showed that there is no relationship between the type of error, frequency of its occurrence, and the probability of error occurrence.
Conclusion: In human error studies, the combined use of risk identification techniques and a quantitative approach that determines the probability of identified errors can reduce uncertainty in the final results.
     
Type of Study: Research | Subject: Special

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