Mohammad Hossein Chalak1, Amin Kahani2, Ghasem Bahramiazar3, Zohreh Marashi4, Tsvetan Ivanov Popov5, Sakineh Dadipoor6, Omran Ahmadi7. 1. Health Promotion Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Iran. mhchalak@yahoo.com. 2. Department of Occupational Health Engineering, School of Health, kerman University of Medical Sciences, kerman, Iran. kahani.amin1362@yahoo.com. 3. Faculty of Environment, University of Tehran, Tehran, Iran. bahrami.hse@gmail.com. 4. Department of Biomedical engineering, Semnan University, Semnan, Iran. zohrehmarashi9@gmail.com. 5. College of Health Science and Technology, School of Geoscience, Physics, and Safety, University of Central Missouri, Warrensburg, United States. tpopov@ucmo.edu. 6. Tobacco and Health research center, Hormozgan University of Medical Sciences, Bandar Abbas , Iran. mdadipoor@yahoo.com. 7. Department of Occupational Health Engineering, Faculty of Medical sciences, Tarbiat Modares University, Tehran, Iran. o.ahmadi@modares.ac.ir.
Abstract
BACKGROUND: Hazards of the workplace and their impacts on the healthcare industry affect the quality of patient care and safety and impose high costs on the healthcare industry. Occupational health in this industry requires proper identification of hazards and managing the related risks. In this study, the researchers attempted to develop an easy-to-use and high applicability occupational health risk assessment model with a fuzzy approach to evaluate risks more precisely. METHODS: In this study, a fuzzy inference system (FIS) was designed and applied to develop a risk assessment model. CONCLUSIONS: This study showed that the developed model could be applied as a practical model for evaluating occupational health risks. The weight of each risk criterion was used to calculate the risk level by adopting a fuzzy approach. The risk assessment results construed using the fuzzy set theory provided a broad picture of risks and could work adequately in the presence of inaccurate and insufficient data to calculate the risk. This model calculates risk levels and provides us with the dispersion and distribution of the calculated value of the risk number.
BACKGROUND: Hazards of the workplace and their impacts on the healthcare industry affect the quality of patient care and safety and impose high costs on the healthcare industry. Occupational health in this industry requires proper identification of hazards and managing the related risks. In this study, the researchers attempted to develop an easy-to-use and high applicability occupational health risk assessment model with a fuzzy approach to evaluate risks more precisely. METHODS: In this study, a fuzzy inference system (FIS) was designed and applied to develop a risk assessment model. CONCLUSIONS: This study showed that the developed model could be applied as a practical model for evaluating occupational health risks. The weight of each risk criterion was used to calculate the risk level by adopting a fuzzy approach. The risk assessment results construed using the fuzzy set theory provided a broad picture of risks and could work adequately in the presence of inaccurate and insufficient data to calculate the risk. This model calculates risk levels and provides us with the dispersion and distribution of the calculated value of the risk number.
Authors: Hanna E Landberg; Peter Berg; Lennart Andersson; Ulf Bergendorf; Jan-Eric Karlsson; Håkan Westberg; Håkan Tinnerberg Journal: Ann Occup Hyg Date: 2015-04-09
Authors: Jody Schinkel; Peter Ritchie; Henk Goede; Wouter Fransman; Martie van Tongeren; John W Cherrie; Erik Tielemans; Hans Kromhout; Nicholas Warren Journal: Ann Occup Hyg Date: 2013-01-09