Description
Book SynopsisImprove clinical performance and demonstrate value to health carepurchasers and insurers by becoming a data detective within yourorganization. Health Data Quest is the practical guide to the mostcurrent and promising emerging measurement tools, and providesguidance for effectively and efficiently finding, interpreting,presenting, and using data.
This much-needed book is filled with the essential information,instructive models, and useful tools managers and executives needto create a program that can clearly demonstrate how a health careorganization offers quality care in a cost-effective manner,including how to build a data warehouse.
Table of ContentsContents.
List of Figures.
Preface.
Acknowledgments.
The Authors.
The Contributors.
THE INFORMATION KNOWLEDGE COMMUNITY.
Why Do Organizations Need Data?
What Data Do Organizations Need? Performing a Data NeedsAssessment.
The Health Care Information Processing Environment: AKnowledge-Based Enterprise (R. Gilbreath).
The Health Care Information Processing Environment: The TechnicalInfrastructure.
Provider-Sponsored Coordinated Care Organizations: DesigningSystems for Patient-Centered Care.
Information-Driven Medical Management (R. Gilbreath & J.Lawing).
ISSUES IN INFORMATION MANAGEMENT.
Legal Issues in Management of Health Care Data (P. Driscoll).
Adjusting for Severity.
Integrating Clinical Information for Performance Improvement.
Case Study: Linking and Integrating Enterprisewide HealthInformation Management Data (D. Bowers).
Case Study: Drilling Down for Performance Improvement Data (A.Rowton & S. McBride).
Case Study: Measuring the Effectiveness of Clinical Pathways (B.Pilon).
Case Study: Integrating Clinical and Financial Data to Create aBalanced Scorecard (L. Neal & J. Walker).
Creating a Climate of Discovery (S. Ryter).
Common Themes: Collaboration and Creativity.
References.
Glossary.
Index.
