Description

Improve patient outcomes, lower costs, reduce fraud—all with healthcare analytics

Healthcare Analytics for Quality and Performance Improvement walks your healthcare organization from relying on generic reports and dashboards to developing powerful analytic applications that drive effective decision-making throughout your organization. Renowned healthcare analytics leader Trevor Strome reveals in this groundbreaking volume the true potential of analytics to harness the vast amounts of data being generated in order to improve the decision-making ability of healthcare managers and improvement teams.

• Examines how technology has impacted healthcare delivery
• Discusses the challenge facing healthcare organizations: to leverage advances in both clinical and information technology to improve quality and performance while containing costs
• Explores the tools and techniques to analyze and extract value from healthcare data
• Demonstrates how the clinical, business, and technology components of healthcare organizations (HCOs) must work together to leverage analytics

Other industries are already taking advantage of big data. Healthcare Analytics for Quality and Performance Improvement helps the healthcare industry make the most of the precious data already at its fingertips for long-overdue quality and performance improvement.

Description

This book will demonstrate how the clinical, business, and technology components of healthcare organizations (HCOs) must work together to leverage analytics and  achieve quality and process improvement goals. It will cover developing a strategy for analytics, using and analyzing data, managing data, identifying what needs to improve, choosing and using analytical tools, predicting outcomes of process changes, sustaining improvements in healthcare, and managing analytics development. In addition to the more technical aspects described above, this book will discuss common frameworks for quality improvement (such as Lean, Six Sigma, and Theory of Constraints) and how different frameworks (and/or QI challenges) dictate different analytical approaches.