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.
Автор: Burk, Scott , Miner, Gary Название: It`s All Analytics! ISBN: 0367493799 ISBN-13(EAN): 9780367493790 Издательство: Taylor&Francis Рейтинг: Цена: 9033.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book, the first in a series of three, provides a look at the foundations of artificial intelligence and analytics and why readers need an unbiased understanding of the subject.
Описание: Data science has always been an effective way of extracting knowledge and insights from information in various forms. One industry that can utilize the benefits from the advances in data science is the healthcare field. The Handbook of Research on Data Science for Effective Healthcare Practice and Administration is a critical reference source that overviews the state of data analysis as it relates to current practices in the health sciences field. Covering innovative topics such as linear programming, simulation modeling, network theory, and predictive analytics, this publication is recommended for all healthcare professionals, graduate students, engineers, and researchers that are seeking to expand their knowledge of efficient techniques for information analysis in the healthcare professions.
Описание: This comprehensive book focuses on better big-data security for healthcare organizations. Following an extensive introduction to the Internet of Things (IoT) in healthcare including challenging topics and scenarios, it offers an in-depth analysis of medical body area networks with the 5th generation of IoT communication technology along with its nanotechnology. It also describes a novel strategic framework and computationally intelligent model to measure possible security vulnerabilities in the context of e-health. Moreover, the book addresses healthcare systems that handle large volumes of data driven by patients’ records and health/personal information, including big-data-based knowledge management systems to support clinical decisions. Several of the issues faced in storing/processing big data are presented along with the available tools, technologies and algorithms to deal with those problems as well as a case study in healthcare analytics. Addressing trust, privacy, and security issues as well as the IoT and big-data challenges, the book highlights the advances in the field to guide engineers developing different IoT devices and evaluating the performance of different IoT techniques. Additionally, it explores the impact of such technologies on public, private, community, and hybrid scenarios in healthcare. This book offers professionals, scientists and engineers the latest technologies, techniques, and strategies for IoT and big data.
Автор: Godbole Название: Making Healthcare Green ISBN: 3319790684 ISBN-13(EAN): 9783319790688 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers examples of how data science, big data, analytics, and cloud technology can be used in healthcare to significantly improve a hospital’s IT Energy Efficiency along with information on the best ways to improve energy efficiency for healthcare in a cost effective manner. The book builds on the work done in other sectors (mainly data centers) in effectively measuring and improving IT energy efficiency and includes case studies illustrating power and cooling requirements within Green Healthcare.
Making Healthcare Green will appeal to professionals and researchers working in the areas of analytics and energy efficiency within the healthcare fields.
Автор: Protzman Название: Leveraging Lean In Hospital Support ISBN: 1482237296 ISBN-13(EAN): 9781482237290 Издательство: Taylor&Francis Рейтинг: Цена: 8420.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is part of a series of titles that are a spin-off of the Shingo Prize-winning book Leveraging Lean in Healthcare: Transforming Your Enterprise into a High Quality Patient Care Delivery System. Each book in the series focuses on a specific aspect of healthcare that has demonstrated significant process and quality improvements after a Lean implementation.There are many departments within a hospital that support the primary function of caregiving and each can benefit from implementing Lean methodologies. Leveraging Lean in Ancillary Hospital Services: Creating a Cost Effective, Standardized, High Quality, Patient-Focused Operation provides a functional understanding of Lean processes and quality improvement techniques in nutritional services, inpatient floors, pharmacy, and radiology.This book is ideal for healthcare executives, leaders, process improvement team members, and inquisitive frontline workers who want to implement and leverage Lean. Supplying detailed descriptions of Lean tools and methodologies, it identifies powerful Lean solutions specific to the needs of ancillary hospital services.The first section provides an overview of Lean concepts, tools, methodologies, and applications. The second section focuses on the application of Lean in the ancillary hospital services environment. Presenting numerous examples, stories, case studies, and lessons learned, it examines the normal operation of each area in radiology, pharmacy, and nutritional services and highlights the areas where typical problems occur.The case studies walk readers through various Lean initiatives and demonstrate how Lean tools and concepts have been used to achieve lasting improvements to processes and quality of care. It also introduces actionable blueprints that readers can duplicate or modify for use in their own institutions.Illustrating leadership’s role in achieving departmental goals, this book will provide you with a well-rounded understanding of how Lean can be applied to achieve significant improvements throughout the entire continuum of care.
Автор: Protzman, Charles Название: Leveraging Lean in Healthcare ISBN: 143981385X ISBN-13(EAN): 9781439813850 Издательство: Taylor&Francis Рейтинг: Цена: 11789.00 р. Наличие на складе: Поставка под заказ.
Автор: Protzman Название: Leveraging Lean In The Medical Labo ISBN: 1482234475 ISBN-13(EAN): 9781482234473 Издательство: Taylor&Francis Рейтинг: Цена: 8420.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is part of a series of titles that are a spin-off of the Shingo Prize-winning book Leveraging Lean in Healthcare: Transforming Your Enterprise into a High Quality Patient Care Delivery System. Each book in the series focuses on a specific aspect of healthcare that has demonstrated significant process and quality improvements after a Lean implementation.Lean principles can help medical laboratories drive up efficiencies and quality without increasing costs or compromising quality. Leveraging Lean in Medical Laboratories: Creating a Cost Effective, Standardized, High Quality, Patient-Focused Operation provides a functional understanding of Lean laboratory processes and quality improvement techniques.This book is an ideal guide for healthcare executives, leaders, process improvement team members, and inquisitive frontline workers who want to implement and leverage Lean in medical laboratories. Supplying detailed descriptions of Lean tools and methodologies, it identifies powerful Lean solutions specific to the needs of the medical laboratory.The first section provides an overview of Lean concepts, tools, methodologies, and applications. The second section focuses on the application of Lean in the laboratory environment. Presenting numerous examples, stories, case studies, and lessons learned, it examines the normal operation of each area in the lab environment and highlights the areas where typical problems occur.Next, it walks readers through various Lean initiatives and demonstrates how Lean tools and concepts have been used to achieve lasting improvements to processes and quality of care. It also supplies actionable blueprints that readers can duplicate or modify for use in their own institutions.Illustrating leadership’s role in achieving departmental goals, this book will provide you with a well-rounded understanding of how Lean can be applied to achieve significant improvements throughout the entire continuum of care.
Автор: Protzman Название: Leveraging Lean In The Outpatient E ISBN: 1482234238 ISBN-13(EAN): 9781482234237 Издательство: Taylor&Francis Рейтинг: Цена: 8420.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book is part of a series of titles that are a spin-off of the Shingo Prize-winning book Leveraging Lean in Healthcare: Transforming Your Enterprise into a High Quality Patient Care Delivery System. Each book in the series focuses on a specific aspect of healthcare--including emergency departments, medical laboratories, outpatient clinics, ancillary services, and surgical services--that has demonstrated significant process and quality improvements after a Lean implementation.
Because ambulatory care settings play a significant role in the healthcare delivery system, it is important to understand how Lean concepts and tools can be used to deliver high-quality, cost-effective care. Leveraging Lean in Outpatient Clinics: Creating a Cost Effective, Standardized, High Quality, Patient-Focused Operation provides a functional understanding of Lean processes and quality improvement techniques in an outpatient clinic environment. This book is an ideal guide for healthcare executives, leaders, process improvement team members, and inquisitive frontline workers who want to implement and leverage Lean in outpatient clinical settings. Supplying detailed descriptions of Lean tools and methodologies, it identifies powerful Lean solutions specific to the needs of outpatient facilities. The first section provides an overview of Lean concepts, tools, methodologies, and applications. The second section focuses on the application of Lean in the outpatient clinic environment. It presents illustrative examples of Lean deployments in primary care, GI, and preadmission testing clinics. The examples provide broad content which can be readily transferable to other outpatient clinic settings. Illustrating leadership's role in achieving departmental goals, this book will provide you with a well-rounded understanding of how Lean can be applied to achieve significant improvements throughout the complete continuum of care.
Автор: Ramalingam Shanmugam Название: Data-Guided Healthcare Decision Making ISBN: 100921201X ISBN-13(EAN): 9781009212014 Издательство: Cambridge Academ Рейтинг: Цена: 15838.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: How does data evidence matter in decision-making in healthcare? How do you implement and maintain cost effective healthcare operations? Do decision trees help to sharpen decision making? This book will answer these questions, demystifying the many questions by clearly showing how to analyse data and how to interpret the results – vital skills for anyone who will go on to work in health administration in hospitals, clinics, pharmaceutical or insurance industries. Written by an expert in health and medical informatics, this book introduces readers to the fundamentals of operational decision making by illustrating the ideas and tools to reach optimal healthcare, drawing on numerous healthcare data sets from multiple sources. Aimed at an audience of graduate students and lecturers in Healthcare Administration and Business Administration courses and heavily illustrated throughout, this book includes up-to-date concepts, new methodologies and interpretations using widely available software: Excel, Microsoft Mathematics, MathSolver and JASP.
Автор: Li Tao; Jiming Liu Название: Healthcare Service Management ISBN: 3030153835 ISBN-13(EAN): 9783030153830 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Healthcare service systems are of profound importance in promoting the public health and wellness of people. This book introduces a data-driven complex systems modeling approach (D2CSM) to systematically understand and improve the essence of healthcare service systems. In particular, this data-driven approach provides new perspectives on health service performance by unveiling the causes for service disparity, such as spatio-temporal variations in wait times across different hospitals.The approach integrates four methods -- Structural Equation Modeling (SEM)-based analysis; integrated projection; service management strategy design and evaluation; and behavior-based autonomy-oriented modeling -- to address respective challenges encountered in performing data analytics and modeling studies on healthcare services. The thrust and uniqueness of this approach lies in the following aspects:Ability to explore underlying complex relationships between observed or latent impact factors and service performance.Ability to predict the changes and demonstrate the corresponding dynamics of service utilization and service performance.Ability to strategically manage service resources with the adaptation of unpredictable patient arrivals.Ability to figure out the working mechanisms that account for certain spatio-temporal patterns of service utilization and performance.To show the practical effectiveness of the proposed systematic approach, this book provides a series of pilot studies within the context of cardiac care in Ontario, Canada. The exemplified studies have unveiled some novel findings, e.g., (1) service accessibility and education may relieve the pressure of population size on service utilization; (2) functionally coupled units may have a certain cross-unit wait-time relationship potentially because of a delay cascade phenomena; (3) strategically allocating time blocks in operating rooms (ORs) based on a feedback mechanism may benefit OR utilization; (4) patients’ and hospitals’ autonomous behavior, and their interactions via wait times may bear the responsible for the emergence of spatio-temporal patterns observed in the real-world cardiac care system. Furthermore, this book presents an intelligent healthcare decision support (iHDS) system, an integrated architecture for implementing the data-driven complex systems modeling approach to developing, analyzing, investigating, supporting and advising healthcare related decisions.In summary, this book provides a data-driven systematic approach for addressing practical decision-support problems confronted in healthcare service management. This approach will provide policy makers, researchers, and practitioners with a practically useful way for examining service utilization and service performance in various ``what-if' scenarios, inspiring the design of effectiveness resource-allocation strategies, and deepening the understanding of the nature of complex healthcare service systems.
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.
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