Risk Adjustment for Measuring Health Care Outcomes, Fourth Edition (Aupha/Hap Book)

The fourth edition of Risk Adjustment for Measuring Health Care Outcomes presents the fundamental principles and concepts of risk adjustment for comparing outcomes of care and explains why risk adjustment is a critical tool for measuring quality and setting reimbursement rates. This book is a comprehensive guide to the issues raised by risk adjustment, including the pros and cons of different data sources, the validity and reliability of risk adjustment methods, the effects of various statistical modeling approaches, and concerns relating to special populations.

The fourth edition features:

A new chapter on the role of risk adjustment in managing healthcare organizations New information on risk factors, including genetics and social and environmental determinants of health Perspectives on electronic health records and new health information technologies Explanations of new statistical methods for comparing provider outcomes and their implications for risk adjustment

Instructor Resources: Discussion questions and PowerPoint slides of the book exhibits. To see a sample, click on the Instructor Resource sample tab above.

• Healthcare Risk Adjustment & Predictive Modeling
• The Handbook of Research Synthesis and Meta-Analysis
• The Art of Statistics: How to Learn from Data
• Conducting Health Outcomes Research
• R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
• Essentials of Managed Health Care (Essentials of Managed Care)
• Risk Adjustment Documentation & Coding
• Hacking Healthcare: A Guide to Standards, Workflows, and Meaningful Use
• Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
• An Introduction to Decision Theory (Cambridge Introductions to Philosophy)