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.

Healthcare Information Technology Innovation and Sustainability: Frontiers and Adoption presents research in the emerging field on information systems and informatics in the healthcare industry. By addressing innovative concepts and critical issues through case studies and experimental research, this reference source is useful for practitioners, researchers and academics aiming to advance the knowledge and practice of these interdisciplinary fields of healthcare information.

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

This book aims to study the factors effecting the adoption and diffusion of Health Information Technology (HIT) innovation. It analyses the adoption processes of various tools and applications, particularly Electronic Health Records (EHR), highlighting the impact on various sectors of the healthcare system, such as physicians, administration and patient care, while also identifying the various pitfalls and gaps in the literature. With the various challenges currently facing the United States healthcare system, the study, adoption and diffusion of healthcare technology innovation, particularly HIT, is imperative to achieving national goals. This book is organized into three sections. Section one reviews theories and applications for the diffusion of Health Care Technologies. Section two evaluates EHR technology, including the barriers and enables in adoption and alternative technologies. Finally, section three examines the factors impacting the adoption of EHR systems. This book will be a key source for students, academics, researchers, practitioners, professionals and policy-makers.

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.

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

The first wide-ranging analysis of business trends in the manufacturing segment of the health care industry.

Digital health has faced obstacles from poor IT systems implementation to lack of consumer acceptance. Very little is known about the management, development, and design of digital health projects, the level of IT adoption, and the role of digital leadership that is needed to successfully drive health projects. Digital health, if successfully implemented, offers tremendous opportunities in health data analytics for consumers of health services and service providers that include health information portability, personalization of health information by consumers, easy access and usefulness of health information, and better management of electronic data records by health institutions and the government. Research suggests that despite assurances provided to consumers, digital information security and digital health innovation have been a challenge and are only slowly being accepted. Opportunities and Challenges in Digital Healthcare Innovation is an innovative research publication that identifies digital health innovation opportunities and obstacles and proposes frameworks and conceptual models for digital health innovation that empowers consumers of digital health to use the information to make informed decisions and choices. Highlighting topics such as data analytics, health regulations, and telehealth, this book is ideal for IT consultants, medical software developers, data scientists, hospital administrators, medical practitioners, policymakers, academicians, researchers, and students.

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.

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