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Healthcare Analytics: From Data to Knowledge to Healthcare Improvement, Hui Yang,Eva K. Lee


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Автор: Hui Yang,Eva K. Lee
Название:  Healthcare Analytics: From Data to Knowledge to Healthcare Improvement
Перевод названия: Ху Янг: Аналитика здравоохранения. От данных к знаниям
ISBN: 9781118919392
Издательство: Wiley
Классификация:

ISBN-10: 1118919394
Обложка/Формат: Hardback
Страницы: 632
Вес: 1.06 кг.
Дата издания: 02.12.2016
Серия: Wiley series in operations research and management science
Язык: English
Размер: 245 x 164 x 40
Читательская аудитория: Professional & vocational
Ключевые слова: Business & management,Medicine: general issues,Mathematics
Подзаголовок: From data to knowledge to healthcare improvement
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Англии
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.

Project Management for Healthcare Informatics

Автор: Houston, Susan Bove, Lisa Anne
Название: Project Management for Healthcare Informatics
ISBN: 0387736824 ISBN-13(EAN): 9780387736822
Издательство: Springer
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Цена: 71990.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Through its use of real clinical examples, this book provides an explanation of the project management process tailored for nurses. Coverage includes the tools available to successfully complete each phase of the project management process and advance the project life cycle.

Performance Improvement for Healthcare: Leading Change with

Автор: Inozu Bahadir
Название: Performance Improvement for Healthcare: Leading Change with
ISBN: 0071761624 ISBN-13(EAN): 9780071761628
Издательство: McGraw-Hill
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Цена: 77780.00 T
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Описание: This unique guide shows how to apply some of the most popular improvement methods (TOC, Lean, Six Sigma) to the field of healthcare for continuous process improvement with system-wide impact--from initiation to self-sufficiency.

Patient Safety and Healthcare Improvement at a Glance

Автор: Sukhmeet Panesar,Andrew Carson-Stevens,Sarah Salvi
Название: Patient Safety and Healthcare Improvement at a Glance
ISBN: 1118361369 ISBN-13(EAN): 9781118361368
Издательство: Wiley
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Цена: 33740.00 T
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Описание: Patient Safety and Healthcare Improvement at a Glance is a timely and thorough overview of healthcare quality written specifically for students and junior doctors and healthcare professionals. It bridges the gap between the practical and the theoretical to ensure the safety and wellbeing of patients.

Health 4.0: How Virtualization and Big Data are Revolutionizing Healthcare

Автор: Thuemmler
Название: Health 4.0: How Virtualization and Big Data are Revolutionizing Healthcare
ISBN: 3319476165 ISBN-13(EAN): 9783319476162
Издательство: Springer
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Цена: 130430.00 T
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Описание:

This book describes how the creation of new digital services--through vertical and horizontal integration of data coming from sensors on top of existing legacy systems--that has already had a major impact on industry is now extending to healthcare. The book describes the fourth industrial revolution (i.e. Health 4.0), which is based on virtualization and service aggregation. It shows how sensors, embedded systems, and cyber-physical systems are fundamentally changing the way industrial processes work, their business models, and how we consume, while also affecting the health and care domains. Chapters describe the technology behind the shift of point of care to point of need and away from hospitals and institutions; how care will be delivered virtually outside hospitals; that services will be tailored to individuals rather than being designed as statistical averages; that data analytics will be used to help patients to manage their chronic conditions with help of smart devices; and that pharmaceuticals will be interactive to help prevent adverse reactions. The topics presented will have an impact on a variety of healthcare stakeholders in a continuously global and hyper-connected world.

- Presents explanations of emerging topics as they relate to e-health, such as Industry 4.0, Precision Medicine, Mobile Health, 5G, Big Data, and Cyber-physical systems;

- Provides overviews of technologies in addition to possible application scenarios and market conditions;

- Features comprehensive demographic and statistic coverage of Health 4.0 presented in a graphical manner.



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