Dan-Ping Li1, Ji-Qun He2,3, Peng-Fei Cheng1,4, Xiang-Hong Zhou1,4, Jian-Qiang Wang4,5, Hong-Yu Zhang4,5. 1. School of Business, Hunan University of Science and Technology, Xiangtan 411201, People's Republic of China. 2. Xiangya Hospital, Central South University, Changsha 410008, People's Republic of China. 3. Xiangya Nursing School, Central South University, Changsha 410011, People's Republic of China. 4. Hunan Engineering Research Center of Intelligent Decision Making and Big Data on Industrial Development, Xiangtan 411201, People's Republic of China. 5. School of Business, Central South University, Changsha 410083, People's Republic of China.
Abstract
BACKGROUND: Human errors during operations may seriously threaten patient recovery and safety and affect the doctor-patient relationship. Therefore, risk evaluation of the surgical process is critical. Risk evaluation by failure mode and effect analysis (FMEA) is a prospective technology that can identify and evaluate potential failure modes in the surgical process to ensure surgical quality and patient safety. In this study, a hybrid surgical risk-evaluation model was proposed using FMEA and multiobjective optimization on the basis of ratio analysis plus full multiplicative form (MULTIMOORA) method under a single-valued trapezoidal neutrosophic environment. This work aimed to determine the most critical risk points during the surgical process and analyze corresponding solutions. METHODS: A team for FMEA was established from domain experts from different departments in a hospital in Hunan Province. Single-valued trapezoidal neutrosophic numbers (SVTNNs) were used to evaluate potential risk factors in the surgical process. Cmprehensive weights combining subjective and objective weights were determined by the best-worst method and entropy method to differentiate the importance of risk factors. The SVTNN-MULTIMOORA method was utilized to calculate the risk-priority order of failure modes in a surgical process. RESULTS: The hybrid FMEA model under the SVTNN-MULTIMOORA method was used to calculate the ranking of severity of 21 failure modes in the surgical process. An unclear diagnosis is the most critical failure in the surgical process of a hospital in Hunan Province. CONCLUSION: The proposed model can identify and evaluate the most critical potential failure modes of the surgical process effectively. In addition, such a model can help hospitals to reduce surgical risk and improve the safety of surgery.
BACKGROUND: Human errors during operations may seriously threaten patient recovery and safety and affect the doctor-patient relationship. Therefore, risk evaluation of the surgical process is critical. Risk evaluation by failure mode and effect analysis (FMEA) is a prospective technology that can identify and evaluate potential failure modes in the surgical process to ensure surgical quality and patient safety. In this study, a hybrid surgical risk-evaluation model was proposed using FMEA and multiobjective optimization on the basis of ratio analysis plus full multiplicative form (MULTIMOORA) method under a single-valued trapezoidal neutrosophic environment. This work aimed to determine the most critical risk points during the surgical process and analyze corresponding solutions. METHODS: A team for FMEA was established from domain experts from different departments in a hospital in Hunan Province. Single-valued trapezoidal neutrosophic numbers (SVTNNs) were used to evaluate potential risk factors in the surgical process. Cmprehensive weights combining subjective and objective weights were determined by the best-worst method and entropy method to differentiate the importance of risk factors. The SVTNN-MULTIMOORA method was utilized to calculate the risk-priority order of failure modes in a surgical process. RESULTS: The hybrid FMEA model under the SVTNN-MULTIMOORA method was used to calculate the ranking of severity of 21 failure modes in the surgical process. An unclear diagnosis is the most critical failure in the surgical process of a hospital in Hunan Province. CONCLUSION: The proposed model can identify and evaluate the most critical potential failure modes of the surgical process effectively. In addition, such a model can help hospitals to reduce surgical risk and improve the safety of surgery.
Authors: Julia Neily; Peter D Mills; Noel Eldridge; Brian T Carney; Debora Pfeffer; James R Turner; Yinong Young-Xu; William Gunnar; James P Bagian Journal: Arch Surg Date: 2011-07-18
Authors: Karl Y Bilimoria; Yaoming Liu; Jennifer L Paruch; Lynn Zhou; Thomas E Kmiecik; Clifford Y Ko; Mark E Cohen Journal: J Am Coll Surg Date: 2013-09-18 Impact factor: 6.113