The Thinking Healthcare System: Artificial Intelligence and Human Equity

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

About the Author

Dominique J. Monlezun MD, PhD, PhD, MPHUT MD is a practicing physician-data scientist and ethicist. He earned his first AI-focused PhD in Global Health Management & Policy and his second PhD in Bioethics (with the latter recognized by Microsoft as producing the world’s top AI ethics doctoral dissertation). He serves as Professor of Cardiology for two American academic medical institutions, Professor of Bioethics for two United Nations-affiliated universities, and the Principal Investigator and Senior Data Scientist and Biostatistician for over 50 research studies associated with Harvard University, the National Institutes of Health, and the European Union, among others. He has authored over 350 peer-reviewed manuscripts and abstracts and book chapters, in addition to the first three comprehensive AI textbooks on bioethics, metaphysics, and public health. He created ML-PSr AI-statistics and Personalist Social Contract ethics after cofounding Culinary Medicine. He has provided medical care for thousands of immigrants, imprisoned, and underserved patients.