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Author: Lyle Berkowitz
Publisher: Springer Science & Business Media
ISBN: 1447143272
Category : Medical
Languages : en
Pages : 312
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Book Description
This book provides an extensive review of what innovation means in healthcare, with real-life examples and guidance on how to successfully innovate with IT in healthcare.
Author: Lyle Berkowitz
Publisher: Springer Science & Business Media
ISBN: 1447143272
Category : Medical
Languages : en
Pages : 312
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Book Description
This book provides an extensive review of what innovation means in healthcare, with real-life examples and guidance on how to successfully innovate with IT in healthcare.
Author: Edward W. Marx
Publisher: CRC Press
ISBN: 1000903850
Category : Business & Economics
Languages : en
Pages : 323
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Book Description
Everyone talks innovation and we can all point to random examples of innovation inside of healthcare information technology, but few repeatable processes exist that make innovation more routine than happenstance. How do you create and sustain a culture of innovation? What are the best practices you can refine and embed as part of your organization’s DNA? What are the potential outcomes for robust healthcare transformation when we get this innovation mystery solved? Through timely essays from leading experts, the first edition showcased the widely adopted healthcare innovation model from HIMSS and how providers could leverage to increase their velocity of digital transformation. Regardless of its promise, innovation has been slow in healthcare. The second edition takes the critical lessons learned from the first edition, expands and refreshes the content as a result of changes in the industry and the world. For example, the pandemic really shifted things. Now providers are more ready and interested to innovate. In the past year alone, significant disruptors (such as access to digital health) have entered the provider space threatening the existence of many hospitals and practices. This has served as a giant wake-up call that healthcare has shifted. And finally, there is more emphasis today than before on the concept of patient and clinician experience. Perhaps hastened by the pandemic, the race is on for innovations that will help address clinician burnout while better engaging patients and families. Loaded with numerous case studies and stories of successful innovation projects, this book helps the reader understand how to leverage innovation to help fulfill the promise of healthcare information technology in enabling superior business and clinical outcomes.
Author: Lawton Robert Burns
Publisher: Cambridge University Press
ISBN: 9781139445887
Category : Business & Economics
Languages : en
Pages : 408
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Book Description
The Business of Healthcare Innovation is the first wide-ranging analysis of business trends in the manufacturing segment of the health care industry. In this leading edge volume, Professor Burns focuses on the key role of the 'producers' as the main source of innovation in health systems. Written by professors of the Wharton School and industry executives, this book provides a detailed overview of the pharmaceutical, biotechnology, genomics/proteomics, medical device and information technology sectors. It analyses the market structures of these sectors as well as the business models and corporate strategies of firms operating within them. Most importantly, the book describes the growing convergence between these sectors and the need for executives in one sector to increasingly draw upon trends in the others. It will be essential reading for students and researchers in the field of health management, and of great interest to strategy scholars, industry practitioners and management consultants.
Author: Miltiadis Lytras
Publisher: Academic Press
ISBN: 0128190442
Category : Medical
Languages : en
Pages : 441
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Book Description
Innovation in Health Informatics: A Smart Healthcare Primer explains how the most recent advances in information and communication technologies have paved the way for new breakthroughs in healthcare. The book showcases current and prospective applications in a context defined by an imperative to deliver efficient, patient-centered and sustainable healthcare systems. Topics discussed include big data, medical data analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies. Additionally, there is a discussion on social issues and policy- making for the implementation of smart healthcare. This book is a valuable resource for undergraduate and graduate students, practitioners, researchers, clinicians and data scientists who are interested in how to explore the intersections between bioinformatics and health informatics. - Provides a holistic discussion on the new landscape of medical technologies, including big data, analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies - Presents a case study driven approach, with references to real-world applications and systems - Discusses topics with a research-oriented approach that aims to promote research skills and competencies of readers
Author: Whende M. Carroll, MSN, RN-BC
Publisher: Springer Publishing Company
ISBN: 0826146511
Category : Medical
Languages : en
Pages : 239
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Book Description
Learn and innovate with the latest technologies in nursing and healthcare! The first text of its kind in nursing, this book provides up-to-date information on innovative, smart technologies that nurses can use in clinical and nonclinical settings to keep up with the changing face of healthcare. This compelling guide will provide you with information about exciting areas of technology that have great potential to improve patient care. Subjects include big data, artificial intelligence, virtual and augmented realities, connected technologies, and precision health. There is also discusson of the shift of healthcare delivery into the community, with an outlook on improving outcomes and enhancing practice. Each chapter focuses on developing competency in current and future real-world applications of emerging technologies. Early chapters describe how to utilize new tools, processes, models, and products to serve the quadruple aim of better managing populations, decreasing costs, and enhancing both the patient’s and the clinician’s experience. The culture of innovation coincides with the ever-changing politics of healthcare in later chapters, which then evolves into the entrepreneurial opportunities for nurses. This text is an essential introduction for all practicing nurses, nurse leaders, and nurses teaching health information technology or informatics courses. Key Features: Written by nurses for nurses The latest information on emerging health information technology and associated nursing implications Compelling cases show the dramatic effect of innovations on value-based care Learn how applying novel technologies can improve patient care Qualified instructors have access to supplementary materials, including PowerPoint slides and an Instructor’s Manual
Author: Karen L. Courtney
Publisher: IOS Press
ISBN: 1614992029
Category : Medical
Languages : en
Pages : 416
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Book Description
For many people in both developing and developed countries universal healthcare is still not the norm. Socio-economic status and geographical restrictions have proved to be major barriers to accessible care. The use of information and communication technologies ICT is growing rapidly internationally as the need to provide more efficient and cost-effective care becomes increasingly urgent. Improving the health of a nation begins with the individual and recent developments in genomics and mobile networked information technologies have regenerated interest in individualizing healthcare. Harnessing the diversity and ubiquity of
Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385
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Book Description
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Author: Francesco Schiavone
Publisher: Springer Nature
ISBN: 303044256X
Category : Medical
Languages : en
Pages : 110
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Book Description
This book explores in depth the phenomenon of user innovation in healthcare. In particular, the book sheds light on patient innovation, whereby patients and/or caregivers proactively develop and diffuse new products and services that provide health and quality of life benefits by addressing gaps in existing market offerings. The aim is to clarify the key characteristics of these innovative processes and to offer practitioners and policymakers tangible bottom-up evidence, solutions, and ideas that will assist in improving health systems, organizations, and practices. A number of important and interesting research questions are addressed, casting light on the types of products and services that tend to be developed by patient innovators, the typical profile of these innovators, the role played by firms, institutions, and health professionals, and the ways in which digital technologies support the dissemination of innovations among patient communities and within the industry. Beyond academic scholars and policymakers, the book will be of high value for students on master’s programs in both medical sciences and business and economics.
Author: Edward W. Marx
Publisher: CRC Press
ISBN: 1000097757
Category : Medical
Languages : en
Pages : 138
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Book Description
This book is a reference guide for healthcare executives and technology providers involved in the ongoing digital transformation of the healthcare sector. The book focuses specifically on the challenges and opportunities for health systems in their journey toward a digital future. It draws from proprietary research and public information, along with interviews with over one hundred and fifty executives in leading health systems such as Cleveland Clinic, Partners, Mayo, Kaiser, and Intermountain as well as numerous technology and retail providers. The authors explore the important role of technology and that of EHR systems, digital health innovators, and big tech firms in the ongoing digital transformation of healthcare. Importantly, the book draws on the accelerated learnings of the healthcare sector during the COVID-19 pandemic in their digital transformation efforts to adopt telehealth and virtual care models. Features of this book: Provides an understanding of the current state of digital transformation and the factors influencing the ongoing transformation of the healthcare sector. Includes interviews with executives from leading health systems. Describes the important role of emerging technologies; EHR systems, digital health innovators, and more. Includes case studies from innovative health organizations. Provides a set of templates and frameworks for developing and implementing a digital roadmap. Based on best practices from real-life examples, the book is a guidebook that provides a set of templates and frameworks for digital transformation practitioners in healthcare.
Author: Sachi Nandan Mohanty
Publisher: John Wiley & Sons
ISBN: 1119791812
Category : Computers
Languages : en
Pages : 418
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Book Description
When considering the idea of using machine learning in healthcare, it is a Herculean task to present the entire gamut of information in the field of intelligent systems. It is, therefore the objective of this book to keep the presentation narrow and intensive. This approach is distinct from others in that it presents detailed computer simulations for all models presented with explanations of the program code. It includes unique and distinctive chapters on disease diagnosis, telemedicine, medical imaging, smart health monitoring, social media healthcare, and machine learning for COVID-19. These chapters help develop a clear understanding of the working of an algorithm while strengthening logical thinking. In this environment, answering a single question may require accessing several data sources and calling on sophisticated analysis tools. While data integration is a dynamic research area in the database community, the specific needs of research have led to the development of numerous middleware systems that provide seamless data access in a result-driven environment. Since this book is intended to be useful to a wide audience, students, researchers and scientists from both academia and industry may all benefit from this material. It contains a comprehensive description of issues for healthcare data management and an overview of existing systems, making it appropriate for introductory and instructional purposes. Prerequisites are minimal; the readers are expected to have basic knowledge of machine learning. This book is divided into 22 real-time innovative chapters which provide a variety of application examples in different domains. These chapters illustrate why traditional approaches often fail to meet customers’ needs. The presented approaches provide a comprehensive overview of current technology. Each of these chapters, which are written by the main inventors of the presented systems, specifies requirements and provides a description of both the chosen approach and its implementation. Because of the self-contained nature of these chapters, they may be read in any order. Each of the chapters use various technical terms which involve expertise in machine learning and computer science.
