AI in Health: A Leader’s Guide to Winning in the New Age of Intelligent Health Systems (HIMSS Book Series)

Cover
Half Title
Title Page
Copyright Page
Dedication
Table of Contents
Preface and Acknowledgements
Author
1 The Future Is Not What It Used to Be
	I’m All for Change – You Go First
	First Steps in an Ongoing Journey
	Three Things Leaders Should Know
	Notes
2 The Rise of the Intelligent Health Consumer
	The Rise of Intelligent Health Systems
		Digital Transformation Is the On-Ramp for Intelligent Health
		There Are No Swim Lanes in the Blue Ocean
		The Consumerization of Health
		AI Is the New UI
		Employee Experiences Will Be as Important as the Customer Experiences
	Intelligent Health Is a New Journey
	Notes
3 AI Is One Thing and Many Things
	AI Is One Thing and Many Things
	Defining AI – General
	AI Building Blocks
		Machine Learning (ML)
		Cognitive Services
	Applying AI Building Blocks
	Notes
4 From Gods to Geeks – A Brief History of AI
	Notes
5 Do Submarines Swim?
	Managing Different Types of Knowledge
	Notes
6 Creating Value Today with AI
	Today’s High Value Use Cases
		Clinical Opportunities
		Bolstering Patient Engagement and Satisfaction
		Operational and Financial Opportunities
		Opportunities for Intelligent Health Payers
		Opportunities for Intelligent Pharma and Drug Discovery
	Matching AI to Clinical and Business Needs
	Barriers to Adoption
	Notes
7 The Leadership Imperative
	Are You a Change Master or Transformation Leader?
		Reimagining Processes and Workflows
		Workforce Transformation
		Data as a Strategic Asset
	The New Face of AI Leaders
	Notes
8 When AI Meets HR
	AI to the Rescue
	Choose One: Divide or Empower Your Workforce
	Adopt and Communicate a People-First Approach
	Understand How and Where AI Will Impact Jobs and Careers
	Create a Learning and Development Plan That Supports Transformation
	Align Recruiting and Retention Plans to the New Intelligent Work Environment
	Create a Data-Driven Culture
	Notes
9 Engaging Your Clinicians
	The Opportunities and Challenges of Clinician Engagement
	Engaging Clinicians to Shape the Future before It Arrives
	Steps for Meaningful Clinician Engagement
	If You Don’t Engage Your Clinicians Their Patients Will
	Notes
10 Making Radiologists More Rad
	Radiology Is Dead. Long Live Radiology
	It Takes a Village – Or at Least a Forward-Looking Medical Association
	The Future Role of Radiologists
	Notes
11 Understanding and Managing the Ethics of AI
	Principles
		Fairness – AI Systems Should Treat All People Fairly
		Reliability – AI Systems Should Perform Reliably and Safely
		Privacy and Security – AI Systems Should Be Secure and Respect Privacy
		Inclusiveness – AI Systems Should Empower Everyone and Engage People
		Transparency and Accountability
	Notes
12 The Role of the Cloud in AI
	A Bright Cloudy Future
	The Benetfi sof AI in the Cloud
	Cloud Computing Delivery Models
	Notes
13 Manage Your Data Estate Like Your Finances
	Creating and Managing Your Data Estate
	Data Governance
	Creating a Data Culture
	Notes
14 The Importance of Intelligent HIT Vendors
	Notes
15 From Aspiration to Execution
	Complete an AI Reality Check
	Lay a Solid AI Foundation: People + Data
	Nix Moonshots in Favor of Well-Curated Use Cases
	Understand and Manage Workforce Impact
	Focus on Delivering Secure and Responsible AI
	Become Your Organization’s AI CEO (Chief Evangelist Officer)
	Measuring Success
	AI Leaders and Laggards
	The Choice Is Yours
	Notes
16 The Road Ahead for AI
	Precision Medicine
	A Quantum Leap for Health
	Emotional AI
	Intelligent Testing
	Biohacking
	The Advent of Data Whisperers
	Unifying Mind and Machine with Brain–Computer Interfaces
	Creating an Intelligent Data Collaboration Graph of Medicine
	Augmented Reality
	Conversational AI
	Making Global Health Smarter
	AI in Health Will Amplify Society
	Notes
Index