Risk Analysis of Operating Room Using the Fuzzy Bayesian Network Model
Publish Year: 1395
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJE-30-1_011
تاریخ نمایه سازی: 9 خرداد 1396
Abstract:
To enhance Patient’s safety, we need effective methods for risk management. This work aims to propose an integrated approach to risk management for a hospital system. To improve patient’s safety, we should develop flexible methods where different aspects of risk and type of information are taken into consideration. This paper proposes a fuzzy Bayesian network to model and analyze risk in the operating room. Bayesian networks provide a framework for presenting causal relationships and enable probabilistic inference among a set of variables. Fuzzy logic allows using the expert’s opinions when quantitative data are lacking and only qualitative or vague statements can be made. This approach provides an actionable model that accurately supports human cognition using linguistic variables. A case study of the patient’s safety risk is used to illustrate the application of the proposed method
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Authors
B Zoullouti
Mohammadia School of Engineering, Mohammed V University of Rabat, Rabat, Morocco
M Amghar
Mohammadia School of Engineering, Mohammed V University of Rabat, Rabat, Morocco
N Sbiti
Mohammadia School of Engineering, Mohammed V University of Rabat, Rabat, Morocco