The Rise Of The Intelligent Health System

"I recommend that all members of the health community read this book to obtain a real snapshot of how the Intelligent Health System is being transformed via new technologies." Chris Landon MD FAAP, FCCP, FRSM Clinical Associate Professor USC Keck School of Medicine Technology Development Center Laboratory and Studio The "Intelligent Health Pavilion" as demonstrated at the annual HIMSS Conference by the Intelligent Health Association is the impetus for this book. This book documents the remarkable journey of "Intelligent Health System" and the adoption of Innovative technologies. Many showcased in real time on the trade show floor and now in this book: "The Rise of the Intelligent Health System". In each chapter of this book, authors are expressing the immense potential of merging cutting-edge technology with the complex realm of patient care and safety. The informative chapters in this book delve deep into the unfolding story of how hospitals have evolved into interactive, intelligent environments, driven by real-time data and powered by artificial intelligence. In what seems like the blink of an eye, technology has completely transformed the way we live, work, and interact with the world around us. From smartphones to self-driving cars, ChatGPT, wireless technologies, wearables, and many other innovations are reshaping our society, pushing the boundaries of what was once considered impossible. However, nowhere is the impact of technology more profound than in the field of healthcare.

In this original work, Tom Lawry takes readers on a journey of understanding what we learned from fighting a global pandemic and how to apply these learnings to solve healthcare's other big challenges. This book is about empowering clinicians and consumers alike to take control of what is important to them by harnessing the power of AI and the Intelligent Health Revolution to create a sustainable system that focuses on keeping all citizens healthy while caring for them when they are not.

This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. The authors discuss the proliferation of huge data sources (e.g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The contributors show how the widespread adoption of intelligent health based systems could help overcome challenges, such as shortages of staff and supplies, accessibility barriers, lack of awareness on certain health issues, identification of patient needs, and early detection and diagnosis of illnesses. This book is a small yet significant step towards exploring recent advances, disseminating state-of-the-art techniques and deploying novel technologies in intelligent healthcare services and applications. Describes the advances of computing methodologies for life and medical science data; Presents applications of artificial intelligence in healthcare along with case studies and datasets; Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.

Engaging in ongoing, continuing professional development (CPD) is a strategic imperative for the health informatics professional. In our global economy, healthcare is fast-paced, dynamic, and ever-changing. While this rapid change is both exciting and exhausting, digital health transformation is positively impacting lives, today and every day, in ways not previously imagined. Faced with a COVID-19 pandemic that has forever changed the landscape of health and care delivery, global health and care stakeholders must ensure that our ecosystem continues to rapidly evolve through innovation, government and ministry incentives, and technological advancements to reach citizens everywhere. For these reasons, health informaticists must embrace lifelong learning to ensure they have the professional competencies to advance initiatives that positively impact patient care. The Handbook of Continuing Professional Development for the Health Informatics Professional, Second Edition has adapted to the evolving needs of health and care professionals everywhere. The Handbook provides the rationale and the resources to do so and serves as a reference to enhance one’s career. No other comprehensive resource exists to assist health informaticists in developing and maintaining their professional competencies. Written as a contributed compilation of topics by leading practitioners, the book discusses the most critical competencies needed to ensure understanding of the vast health and care ecosystem while also highlighting industry influences that shape the very evolution of health information and technology. About HIMSS The Healthcare Information and Management Systems Society (HIMSS) is a global advisor, thought leader, and member association committed to transforming the health ecosystem. As a mission-driven non-profit, HIMSS offers a unique depth and breadth of expertise in health innovation, public policy, workforce development, research, and analytics to advise leaders, stakeholders, and influencers from across the ecosystem on best practices. With a community-centric approach, our innovation engine delivers key insights, education, and engaging events to healthcare providers, payers, governments, startups, life sciences, and other health services organizations, ensuring they have the right information at the point of decision. HIMSS has served the global health community for more than 60 years with focused operations across North America, Europe, the United Kingdom, the Middle East, and Asia-Pacific.

We are in the early stages of the next big platform shift in healthcare computing. Fueled by Artificial Intelligence (AI) and the Cloud, this shift is already transforming the way health and medical services are provided. As the industry transitions from static digital repositories to intelligent systems, there will be winners and losers in the race to innovate and automate the provision of services. Critical to success will be the role leaders play in shaping the use of AI to be less "artificial" and more "intelligent" in support of improving processes to deliver care and keep people healthy and productive across all care settings. This book defines key technical, process, people, and ethical issues that need to be understood and addressed in successfully planning and executing an enterprise-wide AI plan. It provides clinical and business leaders with a framework for moving organizations from the aspiration to execution of intelligent systems to improve clinical, operational, and financial performance.

The applications of rapidly advancing intelligent systems are so varied that many are still yet to be discovered. There is often a disconnect between experts in computer science, artificial intelligence, machine learning, robotics, and other specialties, which inhibits the potential for the expansion of this technology and its many benefits. A resource that encourages interdisciplinary collaboration is needed to bridge the gap between these respected leaders of their own fields. Deep Learning, Reinforcement Learning, and the Rise of Intelligent Systems represents an exploration of the forefront of artificial intelligence, navigating the complexities of this field and its many applications. This guide expertly navigates through the intricate domains of deep learning and reinforcement learning, offering an in-depth journey through foundational principles, advanced methodologies, and cutting-edge algorithms shaping the trajectory of intelligent systems. The book covers an introduction to artificial intelligence and its subfields, foundational aspects of deep learning, a demystification of the architecture of neural networks, the mechanics of backpropagation, and the intricacies of critical elements such as activation and loss functions. The book serves as a valuable educational resource for professionals. Its structured approach makes it an ideal reference for students, researchers, and industry professionals.

Disruptive technologies are gaining importance in healthcare systems and health informatics. By discussing computational intelligence, IoT, blockchain, cloud and big data analytics, this book provides support to researchers and other stakeholders involved in designing intelligent systems used in healthcare, its products, and its services. This book offers both theoretical and practical application-based chapters and presents novel technical studies on designing intelligent healthcare systems, products, and services. It offers conceptual and visionary content comprising hypothetical and speculative scenarios and will also include recently developed disruptive holistic techniques in healthcare and the monitoring of physiological data. Metaheuristic computational intelligence-based algorithms for analysis, diagnosis, and prevention of disease through disruptive technologies are also provided. Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics is written for researchers, academicians, and professionals to bring them up to speed on current research endeavours, as well as to introduce hypothetical and speculative scenarios.

"We are in the early stages of the next big platform shift in healthcare computing. Fueled by Artificial Intelligence (AI) and the cloud, AI is already transforming the way health and medical services are provided. As the industry transitions from static digital repositories to intelligent systems there will be winners and losers in the race to innovate and automate the provision of services. Critical to success will be the role leaders play in shaping the use of AI to be less "artificial" and more "intelligent" in support of improving processes to deliver care and keep people healthy and productive across all care settings. This book defines key technical, process, people and ethical issues that will need to be understood and addressed in planning and executing an effective AI plan. It provides clinical and business leaders with a framework for successfully moving organizations from the aspiration to execution phase of intelligent systems to improve clinical, operational and financial performance. Written for clinical and business leaders in health, this book defines Artificial Intelligence and its role in driving digital transformation to improve clinical, operational and financial outcomes of provider, payer and public health organizations worldwide. It provides readers with an in-depth (but non-technical) look at the technology "building blocks" of AI (e.g. machine learning, cognitive services, bots) with real-world use cases cited along the way to illustrate the power of AI in healthcare settings. This book defines a practical planning framework empowering clinical, business and IT leaders to understand AI and create an organizational plan to implement intelligent solutions that increase the effectiveness of every worker in achieving the goals and objectives of health and medical organizations"--