How to cite this paper
Eftekharzadeh, S., Ghoushchi, S & Momayezi, F. (2024). Enhancing safety and risk management through an integrated spherical fuzzy approach for managing laboratory errors.Decision Science Letters , 13(3), 545-564.
Refrences
Astion, M. L., Shojania, K. G., Hamill, T. R., Kim, S., & Ng, V. L. (2003). Classifying laboratory incident reports to identify problems that jeopardize patient safety. American journal of clinical pathology, 120(1), 18-26.
Bagheri, M., Alamdari, A., & Davoudi, M. (2016). Quantitative risk assessment of sour gas transmission pipelines using CFD. Journal of Natural Gas Science and Engineering, 31, 108-118.
Baker, G. R., Norton, P. G., Flintoft, V., Blais, R., Brown, A., Cox, J., ... & Tamblyn, R. (2004). The Canadian Adverse Events Study: the incidence of adverse events among hospital patients in Canada. Cmaj, 170(11), 1678-1686.
Bonini, P., Plebani, M., Ceriotti, F., & Rubboli, F. (2002). Errors in laboratory medicine. Clinical chemistry, 48(5), 691-698.
Bromiley, P., & Rau, D. (2016). A better way of managing major risks.
Carraro, P., & Plebani, M. (2007). Errors in a stat laboratory: types and frequencies 10 years later. Clinical chemistry, 53(7), 1338-1342.
Carraro, P., Zago, T., & Plebani, M. (2012). Exploring the initial steps of the testing process: frequency and nature of pre-preanalytic errors. Clinical chemistry, 58(3), 638-642.
Cui, Y., Liu, W., Rani, P., & Alrasheedi, M. (2021). Internet of Things (IoT) adoption barriers for the circular economy using Pythagorean fuzzy SWARA-CoCoSo decision-making approach in the manufacturing sector. Technological Forecasting and Social Change, 171, 120951.
Ghoushchi, S. J., Bonab, S. R., Ghiaci, A. M., Haseli, G., Tomaskova, H., & Hajiaghaei-Keshteli, M. (2021). Landfill site selection for medical waste using an integrated SWARA-WASPAS framework based on spherical fuzzy set. Sustainability, 13(24), 13950.
Ghoushchi, S. J., Yousefi, S., & Khazaeili, M. (2019). An extended FMEA approach based on the Z-MOORA and fuzzy BWM for prioritization of failures. Applied soft computing, 81, 105505.
Haseli, G., Sheikh, R., Wang, J., Tomaskova, H., & Tirkolaee, E. B. (2021). A novel approach for group decision making based on the best–worst method (G-bwm): Application to supply chain management. Mathematics, 9(16), 1881.
ISO/TS 22367:2008. Medical laboratories- reduction of error through risk management and continual improvement.
Jafarzadeh Ghoushchi, S., Khazaeili, M., Amini, A., & Osgooei, E. (2019). Multi-criteria sustainable supplier selection using piecewise linear value function and fuzzy best-worst method. Journal of Intelligent & Fuzzy Systems, 37(2), 2309-2325.
Jafarzadeh Ghoushchi, S., Memarpour Ghiaci, A., Rahnamay Bonab, S., & Ranjbarzadeh, R. (2022). Barriers to circular economy implementation in designing of sustainable medical waste management systems using a new extended decision-making and FMEA models. Environmental Science and Pollution Research, 29(53), 79735-79753
Jahangoshai Rezaee, M., Salimi, A., & Yousefi, S. (2017). Identifying and managing failures in stone processing industry using cost-based FMEA. The International Journal of Advanced Manufacturing Technology, 88, 3329-3342.
Kalra, J. (2004). Medical errors: impact on clinical laboratories and other critical areas. Clinical biochemistry, 37(12), 1052-1062.
Kieu, P. T., Nguyen, V. T., Nguyen, V. T., & Ho, T. P. (2021). A spherical fuzzy analytic hierarchy process (SF-AHP) and combined compromise solution (CoCoSo) algorithm in distribution center location selection: A case study in agricultural supply chain. Axioms, 10(2), 53.
Kohn, L. T., Corrigan, J. M., & Donaldson, M. S. (2000). Errors in health care: a leading cause of death and injury. In To err is human: Building a safer health system. National Academies Press (US).
Kutlu Gündoğdu, F., & Kahraman, C. (2019). A novel VIKOR method using spherical fuzzy sets and its application to warehouse site selection. Journal of Intelligent & Fuzzy Systems, 37(1), 1197-1211.
Liu, C. C., Kanekiyo, T., Xu, H., & Bu, G. (2013). Apolipoprotein E and Alzheimer disease: risk, mechanisms and therapy. Nature Reviews Neurology, 9(2), 106-118.
Ma, H., Chu, X., Xue, D., & Chen, D. (2019). Identification of to-be-improved components for redesign of complex products and systems based on fuzzy QFD and FMEA. Journal of Intelligent Manufacturing, 30, 623-639.
Makary, M. A., & Daniel, M. (2016). Medical error—the third leading cause of death in the US. Bmj, 353.
Plebian, M. (2014). Laboratory-associated and diagnostic errors: a neglected link. Diagnosis, 1(1), 89-94.
Pradhan, S., Gautam, K., & Pant, V. (2022). Variation in Laboratory Reports: Causes other than Laboratory Error. JNMA: Journal of the Nepal Medical Association, 60(246), 222.
Ran, J., & Nedovic-Budic, Z. (2016). Integrating spatial planning and flood risk management: A new conceptual framework for the spatially integrated policy infrastructure. Computers, Environment and Urban Systems, 57, 68-79.
Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49-57.
Vincent, G. M., Guy, L. S., Perrault, R. T., & Gershenson, B. (2016). Risk assessment matters, but only when implemented well: A multisite study in juvenile probation. Law and Human Behavior, 40(6), 683.
Yazdani, M., Zarate, P., Kazimieras Zavadskas, E., & Turskis, Z. (2019). A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems. Management Decision, 57(9), 2501-2519.
Yousefi, S., Alizadeh, A., Hayati, J., & Baghery, M. (2018). HSE risk prioritization using robust DEA-FMEA approach with undesirable outputs: a study of automotive parts industry in Iran. Safety Science, 102, 144-158.
Zolfani, S. H., Chatterjee, P., & Yazdani, M. (2019, May). A structured framework for sustainable supplier selection using a combined BWM-CoCoSo model. In International scientific conference in business, management and economics engineering (pp. 797-804). Lithuania: Vilnius.
Bagheri, M., Alamdari, A., & Davoudi, M. (2016). Quantitative risk assessment of sour gas transmission pipelines using CFD. Journal of Natural Gas Science and Engineering, 31, 108-118.
Baker, G. R., Norton, P. G., Flintoft, V., Blais, R., Brown, A., Cox, J., ... & Tamblyn, R. (2004). The Canadian Adverse Events Study: the incidence of adverse events among hospital patients in Canada. Cmaj, 170(11), 1678-1686.
Bonini, P., Plebani, M., Ceriotti, F., & Rubboli, F. (2002). Errors in laboratory medicine. Clinical chemistry, 48(5), 691-698.
Bromiley, P., & Rau, D. (2016). A better way of managing major risks.
Carraro, P., & Plebani, M. (2007). Errors in a stat laboratory: types and frequencies 10 years later. Clinical chemistry, 53(7), 1338-1342.
Carraro, P., Zago, T., & Plebani, M. (2012). Exploring the initial steps of the testing process: frequency and nature of pre-preanalytic errors. Clinical chemistry, 58(3), 638-642.
Cui, Y., Liu, W., Rani, P., & Alrasheedi, M. (2021). Internet of Things (IoT) adoption barriers for the circular economy using Pythagorean fuzzy SWARA-CoCoSo decision-making approach in the manufacturing sector. Technological Forecasting and Social Change, 171, 120951.
Ghoushchi, S. J., Bonab, S. R., Ghiaci, A. M., Haseli, G., Tomaskova, H., & Hajiaghaei-Keshteli, M. (2021). Landfill site selection for medical waste using an integrated SWARA-WASPAS framework based on spherical fuzzy set. Sustainability, 13(24), 13950.
Ghoushchi, S. J., Yousefi, S., & Khazaeili, M. (2019). An extended FMEA approach based on the Z-MOORA and fuzzy BWM for prioritization of failures. Applied soft computing, 81, 105505.
Haseli, G., Sheikh, R., Wang, J., Tomaskova, H., & Tirkolaee, E. B. (2021). A novel approach for group decision making based on the best–worst method (G-bwm): Application to supply chain management. Mathematics, 9(16), 1881.
ISO/TS 22367:2008. Medical laboratories- reduction of error through risk management and continual improvement.
Jafarzadeh Ghoushchi, S., Khazaeili, M., Amini, A., & Osgooei, E. (2019). Multi-criteria sustainable supplier selection using piecewise linear value function and fuzzy best-worst method. Journal of Intelligent & Fuzzy Systems, 37(2), 2309-2325.
Jafarzadeh Ghoushchi, S., Memarpour Ghiaci, A., Rahnamay Bonab, S., & Ranjbarzadeh, R. (2022). Barriers to circular economy implementation in designing of sustainable medical waste management systems using a new extended decision-making and FMEA models. Environmental Science and Pollution Research, 29(53), 79735-79753
Jahangoshai Rezaee, M., Salimi, A., & Yousefi, S. (2017). Identifying and managing failures in stone processing industry using cost-based FMEA. The International Journal of Advanced Manufacturing Technology, 88, 3329-3342.
Kalra, J. (2004). Medical errors: impact on clinical laboratories and other critical areas. Clinical biochemistry, 37(12), 1052-1062.
Kieu, P. T., Nguyen, V. T., Nguyen, V. T., & Ho, T. P. (2021). A spherical fuzzy analytic hierarchy process (SF-AHP) and combined compromise solution (CoCoSo) algorithm in distribution center location selection: A case study in agricultural supply chain. Axioms, 10(2), 53.
Kohn, L. T., Corrigan, J. M., & Donaldson, M. S. (2000). Errors in health care: a leading cause of death and injury. In To err is human: Building a safer health system. National Academies Press (US).
Kutlu Gündoğdu, F., & Kahraman, C. (2019). A novel VIKOR method using spherical fuzzy sets and its application to warehouse site selection. Journal of Intelligent & Fuzzy Systems, 37(1), 1197-1211.
Liu, C. C., Kanekiyo, T., Xu, H., & Bu, G. (2013). Apolipoprotein E and Alzheimer disease: risk, mechanisms and therapy. Nature Reviews Neurology, 9(2), 106-118.
Ma, H., Chu, X., Xue, D., & Chen, D. (2019). Identification of to-be-improved components for redesign of complex products and systems based on fuzzy QFD and FMEA. Journal of Intelligent Manufacturing, 30, 623-639.
Makary, M. A., & Daniel, M. (2016). Medical error—the third leading cause of death in the US. Bmj, 353.
Plebian, M. (2014). Laboratory-associated and diagnostic errors: a neglected link. Diagnosis, 1(1), 89-94.
Pradhan, S., Gautam, K., & Pant, V. (2022). Variation in Laboratory Reports: Causes other than Laboratory Error. JNMA: Journal of the Nepal Medical Association, 60(246), 222.
Ran, J., & Nedovic-Budic, Z. (2016). Integrating spatial planning and flood risk management: A new conceptual framework for the spatially integrated policy infrastructure. Computers, Environment and Urban Systems, 57, 68-79.
Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49-57.
Vincent, G. M., Guy, L. S., Perrault, R. T., & Gershenson, B. (2016). Risk assessment matters, but only when implemented well: A multisite study in juvenile probation. Law and Human Behavior, 40(6), 683.
Yazdani, M., Zarate, P., Kazimieras Zavadskas, E., & Turskis, Z. (2019). A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems. Management Decision, 57(9), 2501-2519.
Yousefi, S., Alizadeh, A., Hayati, J., & Baghery, M. (2018). HSE risk prioritization using robust DEA-FMEA approach with undesirable outputs: a study of automotive parts industry in Iran. Safety Science, 102, 144-158.
Zolfani, S. H., Chatterjee, P., & Yazdani, M. (2019, May). A structured framework for sustainable supplier selection using a combined BWM-CoCoSo model. In International scientific conference in business, management and economics engineering (pp. 797-804). Lithuania: Vilnius.