In his book, AI in Health: A Leader’s Guide to Winning in the New Age of Intelligent Health, author Tom Lawry put forward the concept of Intelligent Health Systems. Unlike traditional health systems, Intelligent Health Systems are emerging as entities that leverage data, AI, the cloud, and digital tools to create strategic advantages. And while all health systems may lay claim to doing some of this, there is a difference in the approach taken by traditional health systems compared to those on the path to becoming Intelligent Health Systems.
Both models recognize the inherent power and capability of using data and AI to improve the delivery of health services. The approach of traditional health systems is to use AI and digital tools to improve current service delivery models.
Intelligent Health Systems are taking this to the next level by using the intelligence revolution to rethink their entire delivery model. In essence, they are using AI to efficiently provide health and medical services across all touchpoints, experiences, and channels.
Prior to the pandemic, we were seeing a slow but steady movement of traditional health providers and new entrants toward becoming Intelligent Health Systems. The pandemic came along and became a forcing function. It accelerated our thinking, our willingness to change, and our ability to harness the power of the Intelligence Revolution to do good. Intelligent Health Systems are taking new approaches to overcoming the age-old challenges of improving access, quality, effectiveness, and costs of health services. Going forward with this approach, they become the health systems of choice as the connected health consumer becomes the new norm.
This book is about understanding and applying the things we learned from the pandemic to address other big challenges. It’s about leveraging the power of AI and the digital revolution to drive health and healthcare services to improve outcomes and empower clinicians and consumers alike in making things better. The book highlights what we learned from the COVID-19 pandemic in the application of AI and intelligent solutions and how we must apply these lessons to address the other big challenges faced by providers and consumers alike (e.g., chronic diseases, the opioid crisis, mental health, and the dissatisfaction of health consumers today).
While this is not a book about COVID, this book will use the pandemic as a context for how AI and intelligent solutions were used to stem the tide in everything from managing patient care to expediting vaccine development. It will then pivot to the premise that what we did and learned from the pandemic must now be applied to rethinking and redeploying health services to be better at improving quality, effectiveness, and consumer satisfaction.
Preface
Chapter 1 : We Interrupt this Pandemic to Bring You Some Good News
Chapter 2 : The Coming Care Calamity
Chapter 3 : The Future of Everything
Chapter 4 : Welcome to the Intelligence Revolution
Chapter 5 : AI Come of Age - A Primer
Chapter 6 : Artificial Intelligence (AI) vs. Natural Human Intelligence (NHI)
Chapter 7 : Creating Value Today with AI
Chapter 8 : The Patient Will See You Now
Chapter 9 : Intelligent Aging is Healthcare’s Moonshot
Chapter 10 : Telehealth Comes of Age
Chapter 11 : Care Anywhere
Chapter 12 : Are Retailers the New Market Makers?
Chapter 13 : Health Infonomics - Data Gets its Due
Chapter 14 : Genetic Code vs. Zip Code - Social Determinants of Health
Chapter 15 : Achieving Health Tequity
Chapter 16 : AI-Driven Leadership
Chapter 17 : Adopting AI Requires Adapting
Chapter 18 : From Aspiration to Execution
Chapter 19 : The Role of the Intelligent Cloud
Chapter 20 : Intelligent Health Needs Gas and Guardrails
Chapter 21 : The Future is Not What it Used to Be
Index
