AI-First Healthcare
by Kerrie L. Holley and Siupo Becker, M.D.
Copyright 2021 Kerrie L. Holley and Siupo Becker. All rights reserved.
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978-1-492-06315-5
[LSI]
Preface
The number of books describing artificial intelligence (AI), machine learning, deep learning, natural language processing, and the full constellation of AI technologies could fill a library. Coupled with the ever-growing list of articles, videos, and blogs, there is no lack of content. Clinicians, computer scientists, technologists, physicians, philosophers, and journalists each tackle different AI issues and challenges.
However, we couldnt find a book that discussed AI from a medical doctor and a technologists paired perspectives. This is a book that tracks the journey of a physician and a technologist working together, discussing AIs opportunity while explaining AI for the consumption of a clinician, an IT worker, a user, an executive, or a business stakeholder. Our goal is for you to understand the possibilities for improvements in healthcare supercharged by artificial intelligence.
While discussing this vast potential, we strove to maintain the awe of AI while grounding the reader in the reality of AI today. We hope that will provide you with confidence that you understand the myth versus the reality. More importantly, this first chapter seeks to familiarize you with the language of AIwhat is a model, an algorithm, a neural network, and morewithout your needing to brush up on linear algebra or computer science.
describes digital transformation and AI, and the utility of AI for digital transformation.
Several opportunities exist for using AI to reduce the amount of waste in healthcare and to reduce medical errors, as addressed in provides a road map for how organizations realize AIs benefits not just for a single instance but at scale.
The state of healthcare is top of mind because it touches most aspects of our lives. The COVID-19 pandemic exposes the slow train wreck of dumb systems frustrating doctors, provider systems, and patients. There is no silver bullet, no quick fix, no one-size-fits-all solution, but the potential to transform healthcare with AI is now possible. We hope this book provides a blueprint for organizations in their journey to leverage AI to make healthcare better for everyone.
Conventions Used in This Book
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Acknowledgments
Thanks to Melissa Potter, our content development editor at OReilly Media, whose edits, suggestions, and thoughtful comments were spot on. She kept us on track, and her patience and insights throughout the process of writing this book were invaluable. We will miss our weekly meetings with Melissa.
We are grateful to Arthur Johnson, our AI-First Healthcare copyeditor, who not only understood the topic and validated our research but also made the book immensely better.
Special thanks are due to those who gave their time to review our manuscript. Their thoughtful comments made a huge contribution to this book: Garry Choy, Dominik Dahlem, Thomas Davenport, Carly Eckert, Jun Li, and Bharath Ramsundar.
Kerrie Holley
Working with Siupo on this project felt like being part of a dream team; her real-life perspective on clinical practices and challenges brought the technological future to life.
Without the support of my wife, Melodie Holden Holley, who allowed me to work every weekend for a year, this book would not be possible. Her nonprofit work in womens health in developing countries enlightened me on the many issues of healthcare in underserved nations. Thank you to my kidsKier Holley and Hugo Holley for their weekly support, Aliya Holley for her perpetual optimism, and Reece Holden for our thoughtful conversations. I hope this book provides my older son, Kier, with insights that will help him reach his goal of being a doctor. And thank you to my sister Rita Olford, whose smile brightens a room even over Zoom; my niece Theressa; and my nephews Dion, Herbert, Howard, and Marcus.