216 pages | 10 B/W Illus.
We are in the early stages of the next big platform shift in healthcare computing. Fueled by Artificial Intelligence (AI) and the cloud, AI 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 will need to be understood and addressed in planning and executing an effective AI plan. It provides clinical and business leaders with a framework for successfully moving organizations from the aspiration to execution phase of intelligent systems to improve clinical, operational and financial performance.
Written for clinical and business leaders in health, this book defines Artificial Intelligence and its role in driving digital transformation to improve clinical, operational and financial outcomes of provider, payer and public health organizations worldwide. It provides readers with an in-depth (but non-technical) look at the technology "building blocks" of AI (e.g. machine learning, cognitive services, bots) with real-world use cases cited along the way to illustrate the power of AI in healthcare settings. This book defines a practical planning framework empowering clinical, business and IT leaders to understand AI and create an organizational plan to implement intelligent solutions that increase the effectiveness of every worker in achieving the goals and objectives of health and medical organizations.
Foreword. Acknowledgements. About the 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 -Transformers Wanted. 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.