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The Thinking Healthcare System

Artificial Intelligence and Human Equity

  • 1 Edición - 17 de febrero de 2023
  • Última edición
  • Autor: Dominique J. Monlezun
  • Idioma: Inglés

The Thinking Healthcare System: Artificial Intelligence and Human Equity is the first comprehensive book detailing the historical, global, and technical trends shaping the evolu… Leer más

Descripción

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.

Puntos claves

  • 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

De interès para

Researchers, students, practitioners, and policy makers in the fields of bioinformatics, health policy, public health, and economics

Índice

1. HEALTHCARE SYSTEMS: CHALLENGES, CRISES, AND CURES
Dominique Monlezun

2. AI + HEALTHCARE SYSTEMS: EFFICIENCY AND EQUITY
Dominique Monlezun

3. AI + PRECISION MEDICINE: DATA SCIENCE AND MULTI-OMICS
Dominique Monlezun

4. AI + PUBLIC HEALTH: EFFECTIVE AND FAIR COLLABORATION
Dominique Monlezun

5. AI + TELEHEALTH: PLUGGING INTO THE DIGITAL ECOSYSTEM
Dominique Monlezun

6. AI + PATIENT SAFETY: ADAPTIVE, EMBEDDED, INTELLIGENT
Dominique Monlezun

7. AI + POLITICAL ECONOMICS IN HEALTHCARE: GLOBALIZED, DIGITALIZED, DIVIDED
Dominique Monlezun

8. AI + HEALTH ETHICS: MORAL INTEROPERABILITY AND PLURALISM
Dominique Monlezun

9. THE FUTURE’S (AI) THINKING HEALTHCARE SYSTEM: BLUEPRINT, ROADMAP, AND DNA
Dominique Monlezun

Detalles del producto

  • Edición: 1
  • Última edición
  • Publicado: 17 de febrero de 2023
  • Idioma: Inglés

Sobre el autor

DM

Dominique J. Monlezun

Dominique J Monlezun MD, PhD, PhD, MPH is a practicing physician-data scientist and AI ethicist. He serves as a Mayo Clinic physician, 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 100 research studies associated with Harvard University, the National Institutes of Health, and dozens of low- and middle-income countries.
Afiliaciones y experiencia
Mayo Clinic, Rochester, MN, USA

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