The Future Circle of Healthcare PDF Download

Author: Sepehr Ehsani
Publisher: Springer Nature
ISBN: 303099838X
Category : Medical
Languages : en
Pages : 411

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Book Description
The past decade has brought to the fore the critical need to constantly envision and consider various scenarios where ongoing trends and sudden changes could together alter the provision of healthcare and the direction of medical research. This book brings together scholars whose areas of expertise represent different themes that are essential to understanding how healthcare might change and evolve over the next decade. What lessons can one take away from current and past developments? The themes explored by the book rest on four pillars. The first is the rapid pace and ubiquity of technological advances in areas such as artificial intelligence, machine learning, additive manufacturing and wearable electronics. The second pillar concerns healthy aging, longevity and the management of chronic diseases. The third is the imperative to remain cognizant of the ethical dimensions of medical decisions, adapting bioethics to ongoing changes in healthcare provision. Finally, the fourth pillar relates to how uncertainty in different domains of medical knowledge can be mitigated and translated into clinical practice. For example, how should uncertainty with the results of clinical trials for a new treatment be dealt with? What cost-benefit analyses would be most appropriate for the situation? Chapter authors identify respective challenges and promising opportunities, discussing how these could contribute to envisioning the future scope of healthcare when it comes to providing medical, economic and ethical values to human societies. Chapters 1, 4, 12, and 20 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Author: Eric Topol
Publisher: Basic Books
ISBN: 1541644646
Category : Health & Fitness
Languages : en
Pages : 388

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Book Description
A Science Friday pick for book of the year, 2019 One of America's top doctors reveals how AI will empower physicians and revolutionize patient care Medicine has become inhuman, to disastrous effect. The doctor-patient relationship--the heart of medicine--is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality. By freeing physicians from the tasks that interfere with human connection, AI will create space for the real healing that takes place between a doctor who can listen and a patient who needs to be heard. Innovative, provocative, and hopeful, Deep Medicine shows us how the awesome power of AI can make medicine better, for all the humans involved.

Author: Summer Knight
Publisher: McGraw Hill Professional
ISBN: 1264267282
Category : Business & Economics
Languages : en
Pages : 289

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Book Description
From a top healthcare futurist, frontline innovator, and Deloitte consultant comes a bold new vision for Humanizing Healthcare—hardwiring humanity at every point of care—that is good for people and good for business. Our nation’s healthcare and life science industry has changed dramatically over the past few decades—and not always for the better. In addition to rising costs and access challenges, the current system has caused needless suffering for patients and clinicians alike: physically, emotionally, financially, and socially. There have been numerous efforts to overhaul the system, but nothing has yet cured healthcare of its illnesses. In Humanizing Healthcare, paramedic-turned-physician executive and Deloitte Managing Director Summer Knight draws on her years of experience on the frontlines of healthcare to offer a powerful road map for real reform. Her refreshingly human approach to transforming our healthcare system provides practical strategies to: Identify core problems in the current system—and find the best workable solutions. Combine healthcare with social services—and build stronger networks of support. Use digital technology and virtual visits to provide expert care at lower costs. Empower healthcare consumers to make smarter choices in their treatment and purchasing options. Form therapeutic alliances between the clinical team (physicians and staff) and the home team (family and friends). Build a solid foundation for ongoing improvements that are truly sustainable, affordable, and humane. This is a clear, compassionate guide to how the industry can transform to embody a more human perspective and use it as a collective north star that will positively impact all stakeholders—consumers, providers, caregivers, staff, executives, shareholders, and the government—alike. Most importantly, this book will open your eyes to what’s possible when you create high-quality, deeply felt alliances that deliver consumer-driven care with value to all. Humanizing Healthcare is the future of health.

Author: Kai-Fu Lee
Publisher: Crown Currency
ISBN: 0593238311
Category : Social Science
Languages : en
Pages : 497

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Book Description
How will AI change our world within twenty years? A pioneering technologist and acclaimed writer team up for a “dazzling” (The New York Times) look at the future that “brims with intriguing insights” (Financial Times). This edition includes a new foreword by Kai-Fu Lee. A BEST BOOK OF THE YEAR: The Wall Street Journal, The Washington Post, Financial Times Long before the advent of ChatGPT, Kai-Fu Lee and Chen Qiufan understood the enormous potential of artificial intelligence to transform our daily lives. But even as the world wakes up to the power of AI, many of us still fail to grasp the big picture. Chatbots and large language models are only the beginning. In this “inspired collaboration” (The Wall Street Journal), Lee and Chen join forces to imagine our world in 2041 and how it will be shaped by AI. In ten gripping, globe-spanning short stories and accompanying commentary, their book introduces readers to an array of eye-opening settings and characters grappling with the new abundance and potential harms of AI technologies like deep learning, mixed reality, robotics, artificial general intelligence, and autonomous weapons.

Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309208955
Category : Medical
Languages : en
Pages : 700

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Book Description
The Future of Nursing explores how nurses' roles, responsibilities, and education should change significantly to meet the increased demand for care that will be created by health care reform and to advance improvements in America's increasingly complex health system. At more than 3 million in number, nurses make up the single largest segment of the health care work force. They also spend the greatest amount of time in delivering patient care as a profession. Nurses therefore have valuable insights and unique abilities to contribute as partners with other health care professionals in improving the quality and safety of care as envisioned in the Affordable Care Act (ACA) enacted this year. Nurses should be fully engaged with other health professionals and assume leadership roles in redesigning care in the United States. To ensure its members are well-prepared, the profession should institute residency training for nurses, increase the percentage of nurses who attain a bachelor's degree to 80 percent by 2020, and double the number who pursue doctorates. Furthermore, regulatory and institutional obstacles-including limits on nurses' scope of practice-should be removed so that the health system can reap the full benefit of nurses' training, skills, and knowledge in patient care. In this book, the Institute of Medicine makes recommendations for an action-oriented blueprint for the future of nursing.

Author: Arjun Panesar
Publisher: Apress
ISBN: 1484237994
Category : Computers
Languages : en
Pages : 390

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Book Description
Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You’ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You’ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things. What You'll LearnGain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AI Select learning methods/algorithms and tuning for use in healthcare Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agentsWho This Book Is For Health care professionals interested in how machine learning can be used to develop health intelligence – with the aim of improving patient health, population health and facilitating significant care-payer cost savings.

Author: Josep Bassaganya-Riera
Publisher:
ISBN: 9783319732398
Category : Drug development
Languages : en
Pages :

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Book Description
Accelerated Path to Cures provides a transformative perspective on the power of combining advanced computational technologies, modeling, bioinformatics and machine learning approaches with nonclinical and clinical experimentation to accelerate drug development. This book discusses the application of advanced modeling technologies, from target identification and validation to nonclinical studies in animals to Phase 1-3 human clinical trials and post-approval monitoring, as alternative models of drug development. As a case of successful integration of computational modeling and drug development, we discuss the development of oral small molecule therapeutics for inflammatory bowel disease, from the application of docking studies to screening new chemical entities to the development of next-generation in silico human clinical trials from large-scale clinical data. Additionally, this book illustrates how modeling techniques, machine learning, and informatics can be utilized effectively at each stage of drug development to advance the progress towards predictive, preventive, personalized, precision medicine, and thus provide a successful framework for Path to Cures.

Author: Eric Topol
Publisher: Basic Books
ISBN: 0465094473
Category : Medical
Languages : en
Pages : 386

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Book Description
The essential guide by one of America's leading doctors to how digital technology enables all of us to take charge of our health A trip to the doctor is almost a guarantee of misery. You'll make an appointment months in advance. You'll probably wait for several hours until you hear "the doctor will see you now"-but only for fifteen minutes! Then you'll wait even longer for lab tests, the results of which you'll likely never see, unless they indicate further (and more invasive) tests, most of which will probably prove unnecessary (much like physicals themselves). And your bill will be astronomical. In The Patient Will See You Now, Eric Topol, one of the nation's top physicians, shows why medicine does not have to be that way. Instead, you could use your smartphone to get rapid test results from one drop of blood, monitor your vital signs both day and night, and use an artificially intelligent algorithm to receive a diagnosis without having to see a doctor, all at a small fraction of the cost imposed by our modern healthcare system. The change is powered by what Topol calls medicine's "Gutenberg moment." Much as the printing press took learning out of the hands of a priestly class, the mobile internet is doing the same for medicine, giving us unprecedented control over our healthcare. With smartphones in hand, we are no longer beholden to an impersonal and paternalistic system in which "doctor knows best." Medicine has been digitized, Topol argues; now it will be democratized. Computers will replace physicians for many diagnostic tasks, citizen science will give rise to citizen medicine, and enormous data sets will give us new means to attack conditions that have long been incurable. Massive, open, online medicine, where diagnostics are done by Facebook-like comparisons of medical profiles, will enable real-time, real-world research on massive populations. There's no doubt the path forward will be complicated: the medical establishment will resist these changes, and digitized medicine inevitably raises serious issues surrounding privacy. Nevertheless, the result-better, cheaper, and more human health care-will be worth it. Provocative and engrossing, The Patient Will See You Now is essential reading for anyone who thinks they deserve better health care. That is, for all of us.

Author: Bon Ku
Publisher: MIT Press
ISBN: 0262358913
Category : Design
Languages : en
Pages : 228

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Book Description
Applying the principles of human-centered design to real-world health care challenges, from drug packaging to early detection of breast cancer. This book makes a case for applying the principles of design thinking to real-world health care challenges. As health care systems around the globe struggle to expand access, improve outcomes, and control costs, Health Design Thinking offers a human-centered approach for designing health care products and services, with examples and case studies that range from drug packaging and exam rooms to internet-connected devices for early detection of breast cancer. Written by leaders in the field—Bon Ku, a physician and founder of the innovative Health Design Lab at Sidney Kimmel Medical College, and Ellen Lupton, an award-winning graphic designer and curator at Cooper Hewitt Smithsonian Design Museum—the book outlines the fundamentals of design thinking and highlights important products, prototypes, and research in health design. Health design thinking uses play and experimentation rather than a rigid methodology. It draws on interviews, observations, diagrams, storytelling, physical models, and role playing; design teams focus not on technology but on problems faced by patients and clinicians. The book's diverse case studies show health design thinking in action. These include the development of PillPack, which frames prescription drug delivery in terms of user experience design; a credit card–size device that allows patients to generate their own electrocardiograms; and improved emergency room signage. Drawings, photographs, storyboards, and other visualizations accompany the case studies. Copublished with Cooper Hewitt, Smithsonian Design Museum

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