The Thinking Healthcare System: Artificial Intelligence and Human Equity is the first comprehensive book detailing the historical, global, and technical trends shaping the evolution of the modern healthcare system into its final form—an AI-driven thinking healthcare system, structured and functioning as a global digital health ecosystem. Written by the world's first triple doctorate trained physician-data scientist and ethicist, and author of three AI textbooks and over 350 scientific and ethics papers, this indispensable resource makes sense of how technology, economics, and ethics are already producing the future's health system—and how to ensure it works for every patient, community, and culture in our globalized, digitalized, and divided world. Providing clear descriptions and concrete examples, this book brings together AI-accelerated digital health ecosystems, data architecture, cloud and edge computing, precision medicine, public health, telemedicine, patient safety, health political economics, multicultural global ethics, blockchain, and quantum health computing, among other topics. Healthcare and business executives, clinicians, researchers, government leaders, policymakers, and students in the fields of healthcare management, data science, medicine, public health, informatics, health and public policy, political economics, and bioethics will find this book to be a groundbreaking resource on how to create, nourish, and lead AI-driven health systems for the future that can think, adapt, and so care in a manner worthy of the world's patients. - Details the first comprehensive, global, and multidisciplinary analysis of the AI-driven transformation of modern healthcare systems into their definitive digitalized form that will dominate the future - Provides clear descriptions and concrete examples of AI-informed value-based healthcare, digital health ecosystems, data architecture, cloud and edge computing, precision medicine, public health, telemedicine, patient safety, health political economics, multicultural and embedded global ethics, blockchain, AI security, health security, digital twins, and quantum health computing - Serves as a practical blueprint, roadmap, and system DNA for creating the future's healthcare system that integrates efficiency and equity to accelerate the treatment (and in some cases even cures) for some of our world's most urgent, immediate, and impending global health challenges and crises
Artificial intelligence Re-Engineering the Global Public Health Ecosystem: A Humanity Worth Saving provides a unifying strategic vision (and principles and examples operationalizing it) for the AI-accelerated effective, efficient, and equitable global public health of the future. Readers will find an ecosystem-based approach to understanding how AI is transforming and globalizing public health (and thus our underlying political economics, contextualized in our diverse cultures). The book integrates data architecture, digital health ecosystem, algorithms (including machine and deep learning and artificial general intelligence), quantum computing, global disease surveillance, adaptive value supply chains, demographic shifts, integral development, network science, health financing, healthcare system design, and multicultural global ethics underlying diverse political economic systems in a clear and concrete way forward together, within a divided but digitized and globalized world. Written by the world's first triple doctorate-trained physician-data scientist and AI ethicist, this book is a compelling and coherent guide to help empower and equip AI developers, students, practitioners, policymakers, researchers, and leaders in digital technology, public health, healthcare, health policy, public policy, political science, economics, and ethics to generate the healthcare solutions that will define humanity's next era. - Details the first comprehensive ecosystem analysis of global public health revolutionized by AI. - Uses concrete examples to explain the dominant players and trends determining health's future, including through data architecture, financing, political economics, demographics, security, and multicultural ethics. - Provides a successful full-spectrum formula for governments, institutions, companies, and communities to scale equitable health globally while respecting local identities and values.
Human annihilation has never been so easy. Artificial intelligence-guided genetic-engineered nanotechnology and robotics (AI-GNR) are widely recognized as our most transformative technological revolution ever, yet we do not even have a common moral language to unite our pluralistic world to prevent an AI apocalypse should this revolution explode out of our control. This book is the first known comprehensive global bioethical analysis of AI and AI-GNR by defining the Thomistic-Aristotelian personalist foundation of the rights and duties-based social contract framework of the United Nations, and then applying it to AI. As such, it creates a compelling approach which will appeal to scientists, health professionals, policy makers, politicians, students, and anyone interested in our shared survival around shared solutions.
The Thinking Healthcare System: Artificial Intelligence and Human Equity details the global modern trends shaping the evolution of the modern health system in its final form, an AI-driven thinking system. Written by a dual PhD-trained physician-data scientist and philosopher, and author of the first AI global bioethics book, this indispensable resource makes sense of how technology, economics and ethics are already producing the future's health system, along with how to ensure it works for every patient, community and culture. Providing clear descriptions and concrete examples, this book covers AI-informed precision medicine, population medicine, telemedicine, patient safety, information technology, global and vertical integration, health economics, and much more. Researchers, students, practitioners and policymakers in the fields of bioinformatics, health policy, public health, and economics will find this book to be a great resource on how to grow AI-driven health systems for the future.
Artificial intelligence Re-Engineering the Global Public Health Ecosystem: A Humanity Worth Saving provides a unifying strategic vision (and principles and examples operationalizing it) for the AI-accelerated effective, efficient, and equitable global public health of the future. Readers will find an ecosystem-based approach to understanding how AI is transforming and globalizing public health (and thus our underlying political economics, contextualized in our diverse cultures). The book integrates data architecture, digital health ecosystem, algorithms (including machine and deep learning and artificial general intelligence), quantum computing, global disease surveillance, adaptive value supply chains, demographic shifts, integral development, network science, health financing, healthcare system design, and multicultural global ethics underlying diverse political economic systems in a clear and concrete way forward together, within a divided but digitized and globalized world. Written by the world's first triple doctorate-trained physician-data scientist and AI ethicist, this book is a compelling and coherent guide to help empower and equip AI developers, students, practitioners, policymakers, researchers, and leaders in digital technology, public health, healthcare, health policy, public policy, political science, economics, and ethics to generate the healthcare solutions that will define humanity's next era. - Details the first comprehensive ecosystem analysis of global public health revolutionized by AI. - Uses concrete examples to explain the dominant players and trends determining health's future, including through data architecture, financing, political economics, demographics, security, and multicultural ethics. - Provides a successful full-spectrum formula for governments, institutions, companies, and communities to scale equitable health globally while respecting local identities and values.
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