Skip to main content
Elsevier

AI Platforms as Global Governance for the Health Ecosystem

The Future's Global Hospital

  • 1st Edition - April 13, 2026
  • Latest edition
  • Author: Dominique J. Monlezun
  • Language: English

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

Description

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 to create global governance for the healthcare ecosystem. The book explores how AI platforms can transform hospitals and clinical practice by digitally unifying patients, providers, and payors, advancing healthcare for all. Users will find content that defines and explains the main hurdles and technical innovations in responsibly governing AI platforms for efficient, equitable, and sustainable global healthcare.

Additional sections delve into the history, science, politics, economics, ethics, policy, and future of these AI platforms, and how governance efforts can work toward the common good. 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.

Key features

  • 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

Readership

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

Table of contents

1. How AI platforms took over health, and then the world

2. Science, technology, and finances of AI platforms

3. Platform governance as global and multicultural ethical convergence

4. War of the (Digital) Worlds: Rival political economic regimes for platform governance

5. Platform governance for streamlining healthcare delivery

6. Platform governance for optimizing public health

7. Platform governance for coordinating global health

Product details

  • Edition: 1
  • Latest edition
  • Published: April 13, 2026
  • Language: English

About the author

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