We are in the early stages of the next big platform shift in healthcare computing. Fueled by Artificial Intelligence (AI) and the Cloud, this shift is already transforming the way health and medical services are provided.
As the industry transitions from static digital repositories to intelligent systems, there will be winners and losers in the race to innovate and automate the provision of services. Critical to success will be the role leaders play in shaping the use of AI to be less "artificial" and more "intelligent" in support of improving processes to deliver care and keep people healthy and productive across all care settings.
This book defines key technical, process, people, and ethical issues that need to be understood and addressed in successfully planning and executing an enterprise-wide AI plan. It provides clinical and business leaders with a framework for moving organizations from the aspiration to execution of intelligent systems to improve clinical, operational, and financial performance.
Preface and Acknowledgements
Author
Chapter 1 : The Future Is Not What It Used to Be
Chapter 2 : The Rise of the Intelligent Health Consumer
Chapter 3 : AI Is One Thing and Many Things
Chapter 4 : From Gods to Geeks – A Brief History of AI
Chapter 5 : Do Submarines Swim?
Chapter 6 : Creating Value Today with AI
Chapter 7 : The Leadership Imperative
Chapter 8 : When AI Meets HR
Chapter 9 : Engaging Your Clinicians
Chapter 10 : Making Radiologists More Rad
Chapter 11 : Understanding and Managing the Ethics of AI
Chapter 12 : The Role of the Cloud in AI
Chapter 13 : Manage Your Data Estate Like Your Finances
Chapter 14 : The Importance of Intelligent HIT Vendors
Chapter 15 : From Aspiration to Execution
Chapter 16 : The Road Ahead for AI
Index