AI Platforms as Global Governance for the Health Ecosystem
The Future's Global Hospital
- 1st Edition - May 1, 2026
- Latest edition
- Author: Dominique J. Monlezun
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 4 5 5 0 5 - 6
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 4 5 5 0 6 - 3
AI Platforms as Global Governance for the Health Ecosystem: The Future’s Global Hospital provides comprehensive and actionable approaches for readers to understand and optimize res… Read more
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AI Platforms as Global Governance for the Health Ecosystem: The Future’s Global Hospital provides comprehensive and actionable approaches for readers to understand and optimize responsible AI as global governance for the healthcare ecosystem. Written from the first-hand perspective of a practicing physician-data scientist and AI ethicist, the book maps out how to develop successful governance for AI platforms. The book explores how AI platforms can transform hospitals and clinical practice by digitally unifying patients, providers, and payors, advancing healthcare for all. This book defines and explains the main hurdles and technical innovations in responsibly governing AI platforms for efficient, equitable, and sustainable global healthcare. It explores the history, science, politics, economics, ethics, policy, as well as the future of these AI platforms, and how governance efforts can work toward the common good.
- Provides readers with an ecosystem perspective of the impact of AI and other technologies on healthcare
- Presents a unified map for leveraging AI platforms to accelerate effective human- centered global governance of healthcare data
- Demonstrates the main hurdles and technical innovations in responsibly governing AI platforms for efficient, equitable, and sustainable global health
Computer Scientists and researchers in Artificial Intelligence, Quantum Computing, and Machine Learning, as well as upper-level undergrad and graduate students in Computer Science, AI, ML, public health, medicine, health policy, public policy, political science, economics, and ethics. As such, academics, researchers, and professionals in a variety of research fields who work with AI, ML, algorithms, and their applications to various real-world research and healthcare administration problems
1. How AI platforms took over health, and then the world
1.1. Historical rise of the global digital ecosystem and AI platforms
1.2. Digitalization of the health ecosystem and its AI revolution
1.3. Political economic demand for better, faster, cheaper health
1.4. Key needs and challenges to global AI governance for health
1.5. Data security + human security = global governance
1.6. Health: Platforms as its technical and governance its structural requirements
1.7. Why this book is needed and unique: Comprehensive, global, actionable
1.8. Human centered governance for AI platforms in the health ecosystem
2. Science, technology, and finances of AI platforms
2.1. Artificial intelligence: Basic history, terms, and trajectory
2.2. Global digital ecosystem: Structure, strategy, and spirit
2.3. Platforms’ business model: Commercialized convenience
2.4. Data architecture and infrastructure: Moving data across partners
2.5. Domains: Social media, business, and health
2.6. Health platforms versus platforms for health
2.7. Nvidia’s platform of platforms: AI’s future as a full-stack ecosystem
3. Platform governance as global and multicultural ethical convergence
3.1. Governance essentially: Common beliefs become common rules
3.2. Diverse, divided, pluralistic world: Compromise versus convergence
3.3. Personalist Social Contract: UN rights to human security to health for all
3.4. Ideas to institutions: Pragmatic alignment and substantive coordination
3.5. Digitalizing dignity: Platform justice as humanity’s existential floor
3.6. Human-centered health economics: GDP growth to household livelihoods
3.7. Do no harm: Platform embrace of health ethics and governance
4. Platform governance and governance with platforms
4.1. Impossibility? History, failures, and hope for global governance
4.2. Governance pillars: Decentralized power with centralized enforceability
4.3. Requirements: Agile, fair, inclusive, enforceable
4.4. Leading contenders: UN, EU, US, and China
4.5. Global South view: Pragmatism between democratic West and autocratic East
4.6. Platforms as governance disrupters, engines, and extenders
4.7. Health’s future: Platform governance as meta-determinants of health
5. War of the digital worlds: Rival regimes for platform governance
5.1. Balkanized global health ecosystem: Countermeasures and alternatives
5.2. European states for rights
5.3. American markets for rights
5.4. Chinese state for security
5.5. Global South partnerships for development
5.6. From dangerously destabilizing rivalry to managed strategic competition
5.7. Ecosystem interoperability: Political economic, data, and moral interoperability
5.8. Platform uniters and dividers: Governance use cases
6. Platform-ization of the global health ecosystem
6.1. Platform-ization: Health digitalization and AI electrification
6.2. Embedded governance-by-design
6.3. Global governance technically: Federated and swarm architectures
6.4. Global governance institutionally: Cooperation and incentive structures
6.5. Global governance integrally: Lattice of governance networks
6.6. Bottom-up and top-down: Laws, policies, standards, norms
6.7. Governance: Scaling globally and personalizing locally
7. Platform governance for healthcare delivery
7.1. Political pressures, economic constraints, and ecological demands
7.2. Leading edge: Mayo Clinic, Nvidia, IBM, Microsoft
7.3. Emergent edge: China, India, Japan, and Africa
7.4. Use case: Drug discovery
7.5. Use case: System optimization
7.6. Use case: Multi-omics in population health
7.7. Use case: Health equity
8. Platform governance for public health optimization
8.1. Healthcare versus public health versus global health
8.2. Societal return on investment versus interest: Healthcare versus public health
8.3. Social, commercial, digital, and meta- determinants of health
8.4. Public-private partnerships as healthcare-public health partnerships
8.5. Use case: Infectious disease prevention and mitigation
8.6. Use case: Healthy lifestyles
8.7. Use case: Human capital development
9. Platform governance for global health coordination
9.1. Cooperative healthcare + public health = global health
9.2. WHO Triple Billion: Universal health coverage, health emergencies, wellbeing
9.3. Platform productivity: More health, less cost
9.4. Prediction agility: Right-fitting systems to local needs
9.5. Integral wellbeing: Loneliness epidemic and social resiliency
9.6. Clean intelligence: Saving power, water, and human workforce
9.7. Precision medicine + precision public health = precision health
1.1. Historical rise of the global digital ecosystem and AI platforms
1.2. Digitalization of the health ecosystem and its AI revolution
1.3. Political economic demand for better, faster, cheaper health
1.4. Key needs and challenges to global AI governance for health
1.5. Data security + human security = global governance
1.6. Health: Platforms as its technical and governance its structural requirements
1.7. Why this book is needed and unique: Comprehensive, global, actionable
1.8. Human centered governance for AI platforms in the health ecosystem
2. Science, technology, and finances of AI platforms
2.1. Artificial intelligence: Basic history, terms, and trajectory
2.2. Global digital ecosystem: Structure, strategy, and spirit
2.3. Platforms’ business model: Commercialized convenience
2.4. Data architecture and infrastructure: Moving data across partners
2.5. Domains: Social media, business, and health
2.6. Health platforms versus platforms for health
2.7. Nvidia’s platform of platforms: AI’s future as a full-stack ecosystem
3. Platform governance as global and multicultural ethical convergence
3.1. Governance essentially: Common beliefs become common rules
3.2. Diverse, divided, pluralistic world: Compromise versus convergence
3.3. Personalist Social Contract: UN rights to human security to health for all
3.4. Ideas to institutions: Pragmatic alignment and substantive coordination
3.5. Digitalizing dignity: Platform justice as humanity’s existential floor
3.6. Human-centered health economics: GDP growth to household livelihoods
3.7. Do no harm: Platform embrace of health ethics and governance
4. Platform governance and governance with platforms
4.1. Impossibility? History, failures, and hope for global governance
4.2. Governance pillars: Decentralized power with centralized enforceability
4.3. Requirements: Agile, fair, inclusive, enforceable
4.4. Leading contenders: UN, EU, US, and China
4.5. Global South view: Pragmatism between democratic West and autocratic East
4.6. Platforms as governance disrupters, engines, and extenders
4.7. Health’s future: Platform governance as meta-determinants of health
5. War of the digital worlds: Rival regimes for platform governance
5.1. Balkanized global health ecosystem: Countermeasures and alternatives
5.2. European states for rights
5.3. American markets for rights
5.4. Chinese state for security
5.5. Global South partnerships for development
5.6. From dangerously destabilizing rivalry to managed strategic competition
5.7. Ecosystem interoperability: Political economic, data, and moral interoperability
5.8. Platform uniters and dividers: Governance use cases
6. Platform-ization of the global health ecosystem
6.1. Platform-ization: Health digitalization and AI electrification
6.2. Embedded governance-by-design
6.3. Global governance technically: Federated and swarm architectures
6.4. Global governance institutionally: Cooperation and incentive structures
6.5. Global governance integrally: Lattice of governance networks
6.6. Bottom-up and top-down: Laws, policies, standards, norms
6.7. Governance: Scaling globally and personalizing locally
7. Platform governance for healthcare delivery
7.1. Political pressures, economic constraints, and ecological demands
7.2. Leading edge: Mayo Clinic, Nvidia, IBM, Microsoft
7.3. Emergent edge: China, India, Japan, and Africa
7.4. Use case: Drug discovery
7.5. Use case: System optimization
7.6. Use case: Multi-omics in population health
7.7. Use case: Health equity
8. Platform governance for public health optimization
8.1. Healthcare versus public health versus global health
8.2. Societal return on investment versus interest: Healthcare versus public health
8.3. Social, commercial, digital, and meta- determinants of health
8.4. Public-private partnerships as healthcare-public health partnerships
8.5. Use case: Infectious disease prevention and mitigation
8.6. Use case: Healthy lifestyles
8.7. Use case: Human capital development
9. Platform governance for global health coordination
9.1. Cooperative healthcare + public health = global health
9.2. WHO Triple Billion: Universal health coverage, health emergencies, wellbeing
9.3. Platform productivity: More health, less cost
9.4. Prediction agility: Right-fitting systems to local needs
9.5. Integral wellbeing: Loneliness epidemic and social resiliency
9.6. Clean intelligence: Saving power, water, and human workforce
9.7. Precision medicine + precision public health = precision health
- Edition: 1
- Latest edition
- Published: May 1, 2026
- Language: English
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.
Affiliations and expertise
Mayo Clinic, Rochester, MN, USA