ABSTRACT

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.

chapter 3|36 pages

Quality Time in Healthcare

Meaningful Use of Health Information Technology and the Journey to Paying for Value

chapter 8|18 pages

Application of Healthcare Informatics to Improving Patient Safety and Outcomes

Learning from the Experiences of Trinity Health

chapter 10|24 pages

The World of Health Analytics

chapter 11|30 pages

Information Creation through Analytics

A Healthcare Focus

chapter 13|14 pages

Taking Action for Health Plan Members’ Health

An Argument for an Expert System’s Approach to Optimizing Care Management Utilization and Financial Outcomes

chapter 14|20 pages

An Introduction to Data and Text Mining in Healthcare

A Focus on Building Alerting Systems for Decision Support

chapter 15|16 pages

Data Mining in Healthcare