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  • Format: ePub

Healthcare Informatics: Improving Efficiency through Technology, Analytics, and Management supplies an understanding of the different types of healthcare service providers, corresponding information technologies, analytic methods, and data issues that play a vital role in transforming the healthcare industry. All of these elements are reshaping the various activities such as workflow and processes of hospitals, healthcare systems, ACOs, and patient analytics, including hot spotting, risk stratification, and treatment effectiveness.
A follow-up to Healthcare Informatics: Improving
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Produktbeschreibung
Healthcare Informatics: Improving Efficiency through Technology, Analytics, and Management supplies an understanding of the different types of healthcare service providers, corresponding information technologies, analytic methods, and data issues that play a vital role in transforming the healthcare industry. All of these elements are reshaping the various activities such as workflow and processes of hospitals, healthcare systems, ACOs, and patient analytics, including hot spotting, risk stratification, and treatment effectiveness.

A follow-up to Healthcare Informatics: Improving Efficiency and Productivity, this latest book includes new content that examines the evolution of Big Data and how it is revolutionizing the healthcare industry. It presents strategies for achieving national goals for the meaningful use of health information technology and includes sound project management principles and case illustrations for technology roll-out, such as Computer Physician Order Entry (CPOE) for optimal utilization.

The book describes how to enhance process efficiency by linking technologies, data, and analytics with strategic initiatives to achieve success. It explains how to leverage data resources with analytics to enhance decision support for care providers through in-depth descriptions of the array of analytic methods that are used to create actionable information, including Business Intelligence, Six Sigma, Data, and Text Mining.


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Autorenporträt
Dr. Stephan P. Kudyba is a professor in the school of management at the New Jersey Institute of Technology. He has published numerous books, journal articles, and magazine articles on strategic utilization of data, information, and technologies to enhance organizational and macro productivity. Dr. Kudyba regularly presents at academic conferences, corporate seminars, and university symposiums addressing trends in information technologies, information management, and the evolving information and knowledge economy. He has over 15 years of private sector experience at prominent organizations in the US and Europe, has held editorial positions for academic journals, is a member of a number of information management based societies, and is involved with helping organizations across a variety of industries address strategic initiatives.