Improved FMEA Methods for Proactive Healthcare Risk Analysis, 1st ed. 2019

Langue : Anglais

Couverture de l’ouvrage Improved FMEA Methods for Proactive Healthcare Risk Analysis

Résumé
Sommaire
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This book offers an in-depth and systematic introduction to improved failure mode and effects analysis (FMEA) methods for proactive healthcare risk analysis. Healthcare risk management has become an increasingly important issue for hospitals and managers. As a prospective reliability analysis technique, FMEA has been widely used for identifying and eliminating known and potential failures in systems, designs, products or services. However, the traditional FMEA has a number of weaknesses when applied to healthcare risk management. This book provides valuable insights into useful FMEA methods and practical examples that can be considered when applying FMEA to enhance the reliability and safety of the healthcare system.

This book is very interesting for practitioners and academics working in the fields of healthcare risk management, quality management, operational research, and management science and engineerin. It can be considered as the guiding document for how a healthcare organization proactively identifies, manages and mitigates the risk of patient harm. This book also serves as a valuable reference for postgraduate and senior undergraduate students.

Healthcare risk management.- FMEA in healthcare: A literature review.- FMEA with cloud model and hierarchical TOPSIS method.- FMEA using interval 2-tuple hybrid weighted distance measure.- FMEA using interval 2-tuple linguistic GRA method.- FMEA based on fuzzy set theory and MULTIMOORA method.- FMEA with interval-valued intuitionistic fuzzy hybrid MCDM approach.- FMEA using combination weighting and fuzzy VIKOR method.- FMEA using interval-valued intuitionistic fuzzy sets and MABAC method.- FMEA based on cluster analysis and prospect theory.- FMEA using interval 2-tuple linguistic variables and ELECTRE method.- FMEA using cloud model theory and PROMETHEE method.- FMEA using hesitant 2-tuple linguistic term sets and QUALIFLEX method.

Hu-Chen Liu received his M.Sc. degree in Industrial Engineering from Tongji University, Shanghai, China, in 2010, and his Ph.D. degree in Industrial Engineering and Management from Tokyo Institute of Technology, Japan, in 2013. He is currently a Professor at the School of Management, Shanghai University. His main research interests include quality and reliability management, Petri net theory and applications, and healthcare operation management. He has published more than 100 papers in these areas in leading journals, such as IIE Transactions, IEEE Transactions on Reliability, IEEE Transactions on Cybernetics, IEEE Transactions on Knowledge and Data Engineering, Reliability Engineering & System Safety, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Engineering Management, International Journal of Production Economics, and International Journal of Production Research.

Dr. Liu is a senior member of the IEEE Society and the IISE Association. He is a member of the INFORMSand the China Association for Quality. He has accomplished and undertaken over 10 scientific research projects at both national and provincial levels, including National Natural Science of Foundation of China, Shanghai Young Eastern Scholar, and Shanghai Youth Top-Notch Talent.

Introduces improved healthcare FMEA methods based on the characteristics of healthcare risk Presents practical examples to illustrate the advantages of the proposed healthcare FMEA Serves as a valuable guide for researchers and practitioners in the field of healthcare quality management