AI-First Healthcare: AI Applications in the Business and Clinical Management of Health

Description

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 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