AI is poised to transform every aspect of healthcare, including the way we manage personal health, from customer experience and clinical care to healthcare cost reductions. This practical book is one of the first to describe present and future use cases where AI can help solve pernicious healthcare problems.
Kerrie Holley and Siupo Becker provide guidance to help informatics and healthcare leadership create AI strategy and implementation plans for healthcare. With this book, business stakeholders and practitioners will be able to build knowledge, a roadmap, and the confidence to support AIin their organizations—without getting into the weeds of algorithms or open source frameworks.
Cowritten by an AI technologist and a medical doctor who leverages AI to solve healthcare’s most difficult challenges, this book covers:
• The myths and realities of AI, now and in the future
• Human-centered AI: what it is and how to make it possible
• Using various AI technologies to go beyond precision medicine
• How to deliver patient care using the IoT and ambient computing with AI
• How AI can help reduce waste in healthcare
• AI strategy and how to identify high-priority AI application
Author(s): Kerrie L. Holley, Siupo Becker M. D.
Edition: 1
Publisher: O'Reilly Media
Year: 2021
Language: English
Commentary: Vector PDF
Pages: 222
City: Sebastopol, CA
Tags: Artificial Intelligence; Machine Learning; Management; Business; Healthcare
Copyright
Table of Contents
Preface
Conventions Used in This Book
O’Reilly Online Learning
How to Contact Us
Acknowledgments
Kerrie Holley
Siupo Becker
Introduction
Summary
Chapter 1. Myths and Realities of AI
AI Origins and Definition
AI and Machine Learning
AI Transitions
AI—A General Purpose Technology
AI Healthcare Myths
Myth: AI Will Cure Disease
Myth: AI Will Replace Doctors
Myth: AI Will Fix the “Healthcare Problem”
Myth: AI Will Decrease Healthcare Costs
AI Myths
Myth: AI Is an Existential Threat
Myth: AI Is Just Machine Learning
Myth: AI Overpromises and Underdelivers
Myth: True Conversational AI Already Exists
Myth: AI as Overlord
AI Technology Myths
Myth: AI Algorithms Are Biased
Myth: AI Sees, Hears, and Thinks
Myth: AI Diagnoses Diseases Better Than Doctors
Myth: AI Systems Learn from Data
Myth: AI Is a Black Box
Myth: AI Is Modeled After the Brain
AI-First Healthcare
Chapter 2. Human-Centered AI
Toward Human-Centered AI
AI Centaur Health
Human-Centered AI
Intersection of AI and Humans
AI and Human Sociocultural Values
AI Understanding Humans
Humans Understanding AI
Human Ethics and AI
Human-Centric Approach
Making Human-Centered AI Work
Summary
Chapter 3. Monitoring + AI = Rx for Personal Health
Prescription (Rx) for Personal Health
Three Realms Influencing Healthcare
Ambient Computing and Healthcare
Continuous Monitoring Using AI
Continuous Monitoring
Beeps, Chimes, Dings, and Dongs
Health Continuum
Application of IoT and AI to Medical Care
IoT and AI
Health Determinants and Big Data
Summary
Chapter 4. Digital Transformation and AI
Digital Transformation of Healthcare
Path A: Creating Digital Operations and Processes
Path B: Building New Capabilities
Path C: Transforming Business Processes
Paths to the Digital Transformation of Healthcare
Digital Healthcare
AI Applied to Digital Healthcare
AI, Digitization, and Big Tech
Preventive and Chronic Disease Management
AI and Prevention
AI and Chronic Disease
AI and Mental Health
AI and Telemedicine
Medication Management and AI
Medication Adherence
Digital Medication
AI and Digitization Applied to Administrative Tasks
Summary
Chapter 5. An Uncomfortable Truth
Healthcare Waste
Healthcare Spend and AI
Treatment Decisions and AI
Administrative Costs
Administrative Processes and Waste
Job Security and AI
Clinician Time
Ambient Clinical Intelligence
AI Use in Diagnostic Imaging and Analysis
Summary
Chapter 6. Emerging Applications in Healthcare Using AI
Improving Human Health
Improving Human Lives
Making Technology Work for Healthcare
Ambient Intelligence
From a Patient’s Perspective
From a Doctor’s Perspective
From a Hospital System’s Perspective
From an Insurer’s Perspective
Emerging Applications and Services
Coordination of Care Platform
Disease State Management Platform
Human to Machine Experience Services
Customer Journey Platform
Clinician Decision Support Tools
Ambient Intelligence Environments
Digital Twin Platform
Real-Time Healthcare
Internet of Behaviors
Summary
Chapter 7. AI at Scale for Healthcare Organizations
Achieving AI at Scale
Transforming Healthcare
The Chasm
Invisible Engines—Healthcare Platforms
The Road to a Healthcare Platform
Ecosystems
Application Programming Interfaces (APIs)
Summary
Index
About the Authors
Colophon
