Table of contents for Measuring health care : using data for operational, financial, and clinical improvement / Yosef D. Dlugacz.

Bibliographic record and links to related information available from the Library of Congress catalog.

Note: Contents data are machine generated based on pre-publication provided by the publisher. Contents may have variations from the printed book or be incomplete or contain other coding.


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CONTENTS
@RHR:Contents
@MT:Contents
@FCTX2:		Figures and Tables
		Preface
		The Author
		Introduction
@FCTX2:	1	Overview: What Measures Measure
@FCTX3:Measures and the Medical Staff
Measures and Patients
Measures and Health Care Leaders
Measures and Money
Measures and Evaluating Care
Summary
Things to Think About
@FCTX2:	2	Fundamentals of Data
@FCTX3:Quality and Finance: A Perfect Fit
Quality and Accountability
Let the Walls Come Tumbling Down
Finding Answers
Objectifying the Delivery of Care
Case Example: Cardiac Mortality
Case Example: Intensive Care Units
Defining Goals
Nothing New Under the Sun
Case Example: Falls
Communicating Information from Quality Measures
Leadership Defines the Level of Quality
Finding Questions
Summary
Things to Think About
@FCTX2:	3	Using Data to Improve Organizational Processes
@FCTX3:Satisfying the Demanding Consumer
Offering Value
Showing the Numbers
Measures Are Good Business
Managing with Measures
The Value of Measures
Measures and Organizational Processes
Case Example: Nutrition
Case Example: Housekeeping
Monitoring Performance
Measures Promote Knowledge
Lack of Measures Leads to Poor Resource Management
Measures and Evaluating Services
Summary
Things to Think About
@FCTX2:	4	What to Measure-and Why
@FCTX3:Leadership Determines What to Measure
Measures Define Quality Care
Measures Inform Financial Decisions
Measures and Purchasing Decisions
Measures and Patient Safety
Quality Methodology for Performance Improvement
Developing a Performance Improvement Plan
Case Example: Plan Do Check Act for Bariatric Surgery
Monitoring Variance from the Standard
Case Example: Moving Between Levels of Care
Understanding Patient Flow
Summary
Things to Think About
@FCTX2:	5	Promoting Accountability Through Measurements
@FCTX3:Measures and Organizational Goals
Justifying Expenses
Case Example: Self-Extubations
Getting the Doctors on Board
Case Example: Wrong-Site Surgery
Analyzing Errors
Changing the Culture
Asking Questions
Evaluating Information and Communicating Results
Summary
Things to Think About
@FCTX2:	6	The Rationale for External Drivers of Quality
@FCTX3:The Government Takes the Lead
Monitoring Quality for Changed Practices
The Media Carry the Message
Public Pressure Forces Change
Quality and Community Relations
Truth or Consequences
Quality Data Force Change
Case Example: Coronary Artery Bypass Graft
Make the Regulations Work for You
Summary
Things to Think About
@FCTX2:	7	Integrating Data for Operational Success
@FCTX3:Different Data Tell Different Stories About Care
Working with Administrative Data
Working with Primary Data
Case Example: Stroke
Operational Decisions and Quality Data
Quality and Risk
Case Example: FMEA and Blood Transfusions
Communicating Quality Data
Case Example: Decubiti
Measures Tell the Truth
Summary
Things to Think About
@FCTX2:	8	Internal Drivers of Quality
@FCTX3:Using Guidelines to Drive Quality
Ensuring That the Standard of Care Is Met
CareMaps Promote Standardized Care
Variance Data Help Drive Quality
Dealing with Resistance to CareMaps
Implementing Guidelines to Drive Quality Care
Everyone Benefits from CareMaps
Documenting the Delivery of Care
Case Example: Detoxification Guidelines
Summary
Things to Think About
@FCTX2:	9	Using Data for Performance Improvement
@FCTX3:Aggregated Data Offer a Different Perspective
Case Example: Using Quality Methods to Ensure Consistency of Care
Case Example: Increasing Access to Care
Case Example: Improving Sterilization Across the System
Collaboration Works
Summary
Things to Think About
@FCTX2:		Conclusion
		Bibliography
		Index

Library of Congress Subject Headings for this publication:

Medical care.
Medical care -- Utilization.
Medicine -- Research -- Data processing.
Medical care, Cost of.
Medical care -- Quality control.
Data Collection -- methods -- United States.
Quality Assurance, Health Care -- methods -- United States.
Outcome Assessment (Health Care) -- United States.