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Titlebook: Improved FMEA Methods for Proactive Healthcare Risk Analysis; Hu-Chen Liu Book 2019 Springer Nature Singapore Pte Ltd. 2019 FMEA.Failure M

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發(fā)表于 2025-3-21 18:52:51 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Improved FMEA Methods for Proactive Healthcare Risk Analysis
編輯Hu-Chen Liu
視頻videohttp://file.papertrans.cn/463/462740/462740.mp4
概述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 valuabl
圖書封面Titlebook: Improved FMEA Methods for Proactive Healthcare Risk Analysis;  Hu-Chen Liu Book 2019 Springer Nature Singapore Pte Ltd. 2019 FMEA.Failure M
描述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..
出版日期Book 2019
關(guān)鍵詞FMEA; Failure Mode and Effect Analysis; Healthcare Risk Analysis; Multi-Criteria Decision Making; Reliab
版次1
doihttps://doi.org/10.1007/978-981-13-6366-5
isbn_softcover978-981-13-6368-9
isbn_ebook978-981-13-6366-5
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

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Hu-Chen Liuon in real-time collaboration, a dependency-based automatic locking (DAL) approach was proposed in prior work. The DAL mechanism automatically detects programming elements with dependency relationships, and prohibits concurrent editing on the inter-dependent source code regions by locking. However,
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laboration. In a decentralized environment, it can be achieved through blockchain technology. However, traditional blockchain platforms such as Ethereum are based on Proof of Work (PoW), which requires huge amounts of computation and is not suitable for robots with limited computing resources. And t
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Hu-Chen Liud collaborate in a closely-coupled fashion. There exists a number of problems and limitations for this emerging approach to be applied in real-world scenarios, and two critical issues are the lack of support on cross-platform collaboration and multi-level consistency maintenance. In this study, we h
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Hu-Chen Liuefore, it is necessary to provide a high-quality mobile application recommendation mechanism to meet the user’s expectation. Although the existing methods make significant results on mobile application recommendation, the recommendation accuracy can be further improved. More exactly, they mainly foc
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