TY  - BOOK
AU  - Lawry,Tom
TI  - AI in health: a leader's guide to winning in the new age of intelligent health systems 
T2  - HIMSS book series
SN  - 9780429321214
AV  - RA971.6 
U1  - 362.10285 23
PY  - 2020///]
CY  - Boca Raton, FL
PB  - CRC Press, Taylor & Francis Group
KW  - Medical care
KW  - Data processing
KW  - Health services administration
KW  - Artificial intelligence
KW  - BUSINESS & ECONOMICS / Leadership
KW  - bisacsh
KW  - BUSINESS & ECONOMICS / Information Management
KW  - MEDICAL / Health Care Delivery
N1  - Preface and Acknowledgements. Author. 1 The Future Is Not What It Used to Be. 2 The Rise of the Intelligent Health Consumer. 3 AI Is One Thing and Many Things. 4 From Gods to Geeks - A Brief History of AI. 5 Do Submarines Swim? 6 Creating Value Today with AI. 7 The Leadership Imperative. 8 When AI Meets HR. 9 Engaging Your Clinicians. 10 Making Radiologists More Rad. 11 Understanding and Managing the Ethics of AI. 12 The Role of the Cloud in AI. 13 Manage Your Data Estate Like Your Finances. 14 The Importance of Intelligent HIT Vendors. 15 From Aspiration to Execution. 16 The Road Ahead for AI. Index
N2  - 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
UR  - https://www.taylorfrancis.com/books/9780429321214
UR  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
ER  -