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Information Technology for Healthcare Managers
"Healthcare organizations are now focused on big data aggregated from myriad data-producing applications both in and beyond the enterprise. Healthcare leaders must position themselves to leverage the new opportunities that arise from HIT's ascendance and to mine the vast amount of available data for competitive advantage. Where can they turn for insight? Information Technology for Healthcare Managers blends management theory, cutting-edge tech knowledge, and a thorough grounding in the healthcare applications of technology. Opinions abound on technology's best uses for society, but healthcare organizations need more than opinion-they need knowledge and strategy. This book will help leaders combine tech savvy with business savvy for sustainable success in a dynamic environment"--
Information Systems for Healthcare Management
Revision of: Austin and Boxerman's information systems for healthcare management.-- 7th ed. / Gerald L. Glandon, Detlev H. Smaltz, Donna J. Slovensky. 2008.
Demystifying Big Data and Machine Learning for Healthcare
Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can lever...
Analytics in Healthcare: An Introduction
Analytics in healthcare: An introduction product details : 1) It gives clear insights about healthcare analytics. 2) This is helpful for both student and staff. 3) Includes data governance and DELTA analytics maturity model. 4) Quick and manageable to read.
Demystifying AI for the Enterprise
Artificial intelligence (AI) in its various forms –– machine learning, chatbots, robots, agents, etc. –– is increasingly being seen as a core component of enterprise business workflow and information management systems. The current promise and hype around AI are being driven by software vendors, academic research projects, and startups. However, we posit that the greatest promise and potential for AI lies in the enterprise with its applications touching all organizational facets. With increasing business process and workflow maturity, coupled with recent trends in cloud computing, datafication, IoT, cybersecurity, and advanced analytics, there is an understanding that the challenges ...
Information Technology for Healthcare Managers
Preceded by: Information systems for healthcare management / Gerald L. Glandon, Detlev H. Smaltz, Donna J. Slovensky. Eighth edition. 2014.
Demystifying Big Data and Machine Learning for Healthcare
Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can lever...
Austin and Boxerman's Information Systems for Healthcare Management
Before there was money, there was debt Every economics textbook says the same thing: Money was invented to replace onerous and complicated barter systems--to relieve ancient people from having to haul their goods to market. The problem with this version of history? There's not a shred of evidence to support it. Here anthropologist David Graeber presents a stunning reversal of conventional wisdom. He shows that for more than 5,000 years, since the beginnings of the first agrarian empires, humans have used elaborate credit systems to buy and sell goods--that is, long before the invention of coins or cash. It is in this era, Graeber argues, that we also first encounter a society divided into de...
Essentials of Health Care Marketing
Essentials of Health Care Marketing, Fourth Edition will provide your students with a foundational knowledge of the principles of marketing and their particular application in health care. Moreover, the text offers a perspective on how these principles must shift in response to the changing environmental forces that are unique to this market.
