AI-First Healthcare: AI Applications in the Business and Clinical Management of Health
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 AI in 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
1137509845
AI-First Healthcare: AI Applications in the Business and Clinical Management of Health
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 AI in 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
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AI-First Healthcare: AI Applications in the Business and Clinical Management of Health

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

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

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

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Overview

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 AI in 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

Product Details

ISBN-13: 9781492063155
Publisher: O'Reilly Media, Incorporated
Publication date: 05/25/2021
Pages: 219
Product dimensions: 7.00(w) x 9.19(h) x (d)

About the Author

Kerrie Holley is a former IBM Fellow and joined Optum as their first Technology Fellow focused on advancing healthcare with technology. He holds a number of technology patents and is author of two previous books.

Dr. Siupo Becker's clinical background is in internal medicine and infectious diseases. She practiced for over 14 years and is now a senior healthcare executive. Her experience includes providing top Fortune 50 companies with innovative approaches to their healthcare needs. Her skill sets include work in population health management, case management, client retention and growth, and technology solutions and digital health innovation as well as product development.

Table of Contents

Preface vii

Introduction xi

1 Myths and Realities of AI 1

AI Origins and Definition 2

AI and Machine Learning 4

AI Transitions 11

AI-A General Purpose Technology 15

AI Healthcare Myths 17

Myth: AI Will Cure Disease 21

Myth: AI Will Replace Doctors 25

Myth: AI Will Fix the "Healthcare Problem" 27

Myth: AI Will Decrease Healthcare Costs 29

AI Myths 33

Myth: AI Is an Existential Threat 34

Myth: AI Is Just Machine Learning 35

Myth: AI Overpromises and Underdelivers 36

Myth: True Conversational AI Already Exists 37

Myth: AI as Overlord 38

AI Technology Myths 39

Myth: AI Algorithms Are Biased 40

Myth: AI Sees, Hears, and Thinks 40

Myth: AI Diagnoses Diseases Better Than Doctors 41

Myth: AI Systems Learn from Data 43

Myth: AI Is a Black Box 43

Myth: AI Is Modeled After the Brain 45

AI-First Healthcare 45

2 Human-Centered AI 49

Toward Human-Centered AI 49

AI Centaur Health 50

Human-Centered AI 53

Intersection of AI and Humans 54

AI and Human Sociocultural Values 58

AI Understanding Humans 61

Humans Understanding AI 64

Human Ethics and AI 66

Human-Centric Approach 67

Making Human-Centered AI Work 69

Summary 71

3 Monitoring + AI = Rx for Personal Health 73

Prescription (Rx) for Personal Health 76

Three Realms Influencing Healthcare 78

Ambient Computing and Healthcare 81

Continuous Monitoring Using AI 83

Continuous Monitoring 84

Beeps, Chimes, Dings, and Dongs 85

Health Continuum 86

Application of IoT and AI to Medical Care 88

IoT and AI 88

Health Determinants and Big Data 92

Summary 93

4 Digital Transformation and AI 95

Digital Transformation of Healthcare 97

Path A: Creating Digital Operations and Processes 99

Path B: Building New Capabilities 100

Path C: Transforming Business Processes 101

Paths to the Digital Transformation of Healthcare 102

Digital Healthcare 102

AI Applied to Digital Healthcare 104

AI, Digitization, and Big Tech 105

Preventive and Chronic Disease Management 106

AI and Prevention 107

AI and Chronic Disease 108

AI and Mental Health 110

AI and Telemedicine 111

Medication Management and AI 113

Medication Adherence 114

Digital Medication 115

AI and Digitization Applied to Administrative Tasks 117

Summary 119

5 An Uncomfortable Truth 121

Healthcare Waste 122

Healthcare Spend and AI 123

Treatment Decisions and AI 126

Administrative Costs 131

Administrative Processes and Waste 133

Job Security and AI 135

Clinician Time 136

Ambient Clinical Intelligence 137

AI Use in Diagnostic Imaging and Analysis 137

Summary 142

6 Emerging Applications in Healthcare Using AI 145

Improving Human Health 146

Improving Human Lives 147

Making Technology Work for Healthcare 148

Ambient Intelligence 148

From a Patient's Perspective 151

From a Doctor's Perspective 153

From a Hospital System's Perspective 156

From an Insurers Perspective 160

Emerging Applications and Services 162

Coordination of Care Platform 163

Disease State Management Platform 164

Human to Machine Experience Services 165

Customer Journey Platform 166

Clinician Decision Support Tools 167

Ambient Intelligence Environments 167

Digital Twin Platform 168

Real-Time Healthcare 169

Internet of Behaviors 170

Summary 171

7 AI at Scale for Healthcare Organizations 173

Achieving AI at Scale 173

Transforming Healthcare 178

The Chasm 182

Invisible Engines-Healthcare Platforms 183

The Road to a Healthcare Platform 186

Ecosystems 190

Application Programming Interfaces (APIs) 191

Summary 191

Index 195

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