Описание: Features statistical and operational research methods and tools being used to improve the healthcare industry With a focus on cutting–edge approaches to the quickly growing field of healthcare, Healthcare Analytics: From Data to Knowledge to Healthcare Improvement provides an integrated and comprehensive treatment on recent research advancements in data–driven healthcare analytics in an effort to provide more personalized and efficient healthcare services. Emphasizing data and healthcare analytics from an operational management and statistical perspective, the book details how analytical methods and tools can be utilized to enhance care quality and operational efficiency. Organized into two main sections, Part One features biomedical and health informatics and specifically addresses the analytics of genomic and proteomic data; physiological signals from patient monitoring systems; data uncertainty in clinical laboratory tests; predictive modeling; disease modeling for sepsis; and the design of cyber infrastructures for early prediction of epidemic events. Part Two focuses on healthcare delivery systems, including system advances for transforming clinic workflow and patient care; macro analysis of patient flow distribution; intensive care units; primary care; demand and resource allocation; mathematical models for predicting patient readmission and postoperative outcome; physician–patient interactions; insurance claims; and the role of social media in healthcare. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement also features: Contributions from well–known international experts who shed light on new approaches in this growing area Discussions on contemporary methods and techniques to address the handling of rich and large–scale healthcare data as well as the overall optimization of healthcare system operations Numerous real–world examples and case studies that emphasize the vast potential of statistical and operational research tools and techniques to address the big data environment within the healthcare industry Plentiful applications that showcase the various analytical methods and tools that can be applied to successful predictive modeling The book is an ideal reference for academics and practitioners in operations research, management science, applied mathematics, statistics, business, industrial and systems engineering, healthcare systems, and economics. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement is also appropriate for graduate–level courses typically offered within operations research, industrial engineering, business, and public health departments. Hui Yang, PhD, is Associate Professor in the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at The Pennsylvania State University. His research interests include sensor–based modeling and analysis of complex systems for process monitoring/control; system diagnostics/prognostics; quality improvement; and performance optimization with special focus on nonlinear stochastic dynamics and the resulting chaotic, recurrence, self–organizing behaviors. Eva K. Lee, PhD, is Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology, Director of the Center for Operations Research in Medicine and HealthCare, and Distinguished Scholar in Health System, Health Systems Institute at both Emory University School of Medicine and Georgia Institute of Technology. Her research interests include health risk prediction; early disease prediction and diagnosis; optimal treatment strategies and drug delivery; healthcare outcome analysis and treatment prediction; public health and medical preparedness; large–scale healthcare/medical decision analysis and quality improvement; clinical translational science; and business intelligence and organization transformation.
Описание: A practical framework for revenue-boosting supply chain management Next Generation Demand Management is a guidebook to next generation Demand Management, with an implementation framework that improves revenue forecasts and enhances profitability.
Описание: Takes the reader through a real-life case study of one organization`s journey towards a world-class continuous improvement process. This book provides practical advice on methods, tools, and leadership to help operations professionals set up, execute, and continuously build upon their organization`s improvement work.
Автор: Prof. Dr. Wolf Reitsperger; Carmencita Cheung Название: Technology Transfer and Competition ISBN: 3824408341 ISBN-13(EAN): 9783824408344 Издательство: Springer Рейтинг: Цена: 14673.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The author's doctoral dissertation, which is the basis of this book, focuses on China's high-tech ambitions and the technology transfer to China by Western multinational corporations. It examines the tradeoffs associated with technology transfer and the promises of access to a huge potential market in the context of China's accession to the World Trade Organization, which may mitigate these tradeoffs. The empirical study, which provides some of the insights gained by the author, provides the backdrop for discussion and analysis. The analysis presented exceeds by far the sometimes flat and insufficient arguments presenting Chinese government strategists as captives of their cultural dispositions and Western firms as pawns having to adapt their policies to these cultural dispositions. The analysis presented stands out by being based on a thorough understanding of China, the industry investigated and the strategies pursued by the Chinese and by multinational corporations. It is the basis for future research and an invaluable resource for potential entrants into the Chinese market as well as those who are already there. Prof. Dr. Wolf Reitsperger Professor of International Business and Management University of Hamburg v Preface This project would not have been possible without the support and assistance of many people. I wish to thank Professor Wolf Reitsperger, my dissertation supervisor, for his inspiration, guidance and patience. Without his unfailing support, I would not have had the courage to experiment; without the insights he shared, I could not have learned so much from the mistakes I made.
Автор: Arthur Jay Название: Breakthrough Improvement with QI Macros and Excel: Finding t ISBN: 0071822836 ISBN-13(EAN): 9780071822831 Издательство: McGraw-Hill Рейтинг: Цена: 5318.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is an applied research-related book essential for undergraduate and postgraduate students, policymakers, and practitioners in the trade and development field. It provides an holistic and balanced treatment of various approaches within the international trade domain, as well as clarity of exposition to guarantee that all readers grasp the theories, application and policies discussed.
Автор: Van Aartsengel Aristide Название: Guide to Continuous Improvement Transformation ISBN: 3642359035 ISBN-13(EAN): 9783642359033 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book shows enterprise business leaders, from CEOs to supervisors, what Continuous Improvement is, why it is probably the best answer in years to improved business performance, and how to implement it in the unique environment of a specific organization.
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