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Software for Occupational Health and Safety Risk Analysis Based on a Fuzzy Model

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Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Risk and safety management are very important issues in healthcare systems. Those are complex systems with many entities, hazards and uncertainties. In such an environment, it is very hard to introduce a system for evaluating and simulating significant hazards. In this paper, we analyzed different types of hazards in healthcare systems and we introduced a new fuzzy model for evaluating and ranking hazards. Finally, we presented a developed software solution, based on the suggested fuzzy model for evaluating and monitoring risk.
Rocznik
Strony
127--136
Opis fizyczny
Bibliogr. 33 poz., tab., wykr.
Twórcy
  • Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia
autor
  • Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia
autor
  • Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia
autor
  • Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia
Bibliografia
  • 1.Carroll R. Risk management handbook for healthcare organizations. 3rd ed. San Francisco, CA, USA: Jossey-Bass; 2001.
  • 2.Chang YH, Wang YC. Significant human risk factors in aircraft maintenance technicians. Saf Sci. 2010;48(1):54–62.
  • 3.Papazoglou IA, Guedes Soares C. Occupational safety and risk at ESREL 2006. Saf Sci. 2008;46(6):869–71.
  • 4.Macrae C. Learning from patient safety incidents: creating participative risk regulation in healthcare. Health Risk Soc. 2008;10(1):53–67.
  • 5.Safety and health good practice online for the healthcare sector (Facts 29). Bilbao, Spain: European Agency for Safety and Health at Work; 2003. Retrieved May 8, 2012, from: http://osha.europa.eu/en/publications/factsheets/29.
  • 6.Grassi A, Gamberini R, Mora C, Rimini B. A fuzzy multi-attribute model for risk evaluation in workplaces. Saf Sci. 2009;47(5):707–16.
  • 7.National Statistics. Health and safety statistics 2006/07. Sudbury, Suffolk, UK: Health and Safety Executive; 2007. Retrieved May 8, 2012, from: http://www.stat.fi/til/aku/2006/03/aku_2006_03_2008-06-03_kat_002_fi.html.
  • 8.International Organization for Standardization (ISO). Risk management - principles and guidelines (Standard No. ISO 31000:2009). Geneva, Switzerland: ISO; 2009.
  • 9.Aloini D, Dulmin R, Mininno V. Risk management in ERP project introduction: review of the literature. Information & Management. 2007;44(6):547–77.
  • 10.Douglas M. Risk as a forensic resource. Dedalus. 1990;119(4):1–16.
  • 11.Kangari R, Riggs LS. Construction risk assessment by linguistics. IEEE Trans Eng Manag. 1989;36(2):126–31.
  • 12.Chen SM, Chen JH. Fuzzy risk analysis based on ranking generalized fuzzy numbers with different heights and different spreads. Expert Syst Appl. 2009;36(3):6833–42.
  • 13.Zadeh LA. The concept of a linguistic variable and its application to approximate reasoning - I. Information Sciences. 1975;8(3):199–249.
  • 14.Kaur P, Chakrabortyb S. A new approach to vendor selection problem with impact factor as an indirect measure of quality. Journal of Modern Mathematics and Statistics. 2007;1(1):8–14.
  • 15.Lee R. Occupational transmission of blood borne diseases to healthcare workers in developing countries: meeting the challenges. J Hosp Infect. 2009;72(4):285–91.
  • 16.Castella A, Vallino A, Argentero PA, Zottia CM. Preventability of percutaneous injuries in healthcare workers: a yearlong survey in Italy. J Hosp Infect. 2003;55(4):290–4.
  • 17.Cullen BL, Genasi F, Symington I, Bagg J, McCreaddie M, Taylor A, et al. Potential for reported needle stick injury prevention among healthcare workers through safety device usage and improvement of guideline adherence: expert panel assessment. J Hosp Infect. 2006;63(4):445–51.
  • 18.Jagger J, Perry J, Gomaa A, Phillips EK. The impact of U.S. policies to protect healthcare workers from bloodborne pathogens: the critical role of safety engineered devices. J Infec Public Health. 2008;1(2):62–71.
  • 19.Rechel B, Buchan J, McKee M. The impact of health facilities on healthcare workers’ well-being and performance. Int J Nurs Studies. 2009;46(7):1025–34.
  • 20.McPhaul KM, London M, Murrett K, Flannery K, Rosen J, Lipscomb J. Environmental evaluation for workplace violence in healthcare and social services. J Safety Res. 2008;39(2):237–50.
  • 21.Gurcanli GE, Mungen U. An occupational safety risk analysis method at construction sites using fuzzy sets. Int J Ind Ergon. 2009;39(2):371–87.
  • 22.Tixier J, Dusserre G, Salvi O, Gaston D. Review of 62 risk analysis methodologies of industrial plants. Journal of Loss Prevention in the Process Industries. 2002;15(4):291–303.
  • 23.Chang DY. Extent analysis and synthetic decision, optimization techniques and applications. Singapore: Word Scientific; 1992.
  • 24.Jeynes J. Risk management: 10 principles. Oxford, UK: Butterworth-Heinemann. 2002.
  • 25.Hill JW, Powell P. The national healthcare crisis: is eHealth a key solution? Bus Horiz. 2009;52(3):265–77.
  • 26.Tweedy JT. Healthcare hazard control and safety management. 2nd ed. Boca Raton, FL, USA: Taylor & Francis; 2005.
  • 27.United States Department of Labor. Occupational Health & Safety Administration. Healthcare facilities. Hazards and solutions. Retrieved May 8, 2012, from: http://www.osha.gov/SLTC/healthcarefacilities/hazards_solutions.html.
  • 28.Standards Australia and Standards New Zealand. Risk management (Standard No. AS/NZS 4360:2009). Homebush, NSW, Australia: Standards Australia and Wellington, New Zealand: Standards New Zealand; 2009.
  • 29.Risk assessment essentials. Bilbao, Spain: European Agency for Safety and Health at Work; 2007. Retrieved May 8, 2012, from: http://osha.europa.eu/en/publications/other/rat2007.
  • 30.Dubois D, Prade H. Fuzzy sets and statistical data. Eur J Oper Res. 1986;25(3):345–56.
  • 31.Pedrycz W, Gomide F. An introduction to fuzzy sets. Analysis and design. Cambridge, MA, USA: MIT Press; 1998.
  • 32.Pomerol JC, Barba-Romero S. Multicriterion decision in management: principles and practice. Boston, MA, USA: Kluwer Academic; 2000.
  • 33.Zimmermann HJ. Fuzzy set theory and its applications. Boston, MA, USA: Kluwer Nijhoff; 1996.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1f0aa9ea-a7d5-463b-8147-df0376d91dbb
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