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E-book

Quantitative Methods in Health Care Management: Techniques and Applications, 2nd Edition

ISBN: 978-0-470-93253-7
448 pages
November 2011, Jossey-Bass
Quantitative Methods in Health Care Management: Techniques and Applications, 2nd Edition (0470932538) cover image

Thoroughly revised and updated for Excel®, this second edition of Quantitative Methods in Health Care Management offers a comprehensive introduction to quantitative methods and techniques for the student or new administrator. Its broad range of practical methods and analysis spans operational, tactical, and strategic decisions. Users will find techniques for forecasting, decision-making, facility location, facility layout, reengineering, staffing, scheduling, productivity, resource allocation, supply chain and inventory management, quality control, project management, queuing models for capacity, and simulation. The book's step-by-step approach, use of Excel, and downloadable Excel templates make the text highly practical.

Praise for the Second Edition

"The second edition of Dr. Ozcan's textbook is comprehensive and well-written with useful illustrative examples that give students and health care professionals a perfect toolkit for quantitative decision making in health care on the road for the twenty-first century. The text helps to explain the complex health care management problems and offer support for decision makers in this field."
—Marion Rauner, associate professor, School of Business, Economics, and Statistics, University of Vienna.

"Quantitative Methods in Health Care Administration, Second Edition covers a broad set of necessary and important topics. It is a valuable text that is easy to teach and learn from."
—David Belson, professor, Department of Industrial Engineering, Viterbi School of Engineering, University of Southern California.

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Tables, Figures, & Exhibits.

Foreword.

Acknowledgments.

The Author.

Introduction.

1 INTRODUCTION TO QUANTITATIVE DECISION-MAKING METHODS IN HEALTH CARE MANAGEMENT.

Historical Background and the Development of Decision Techniques.

The Health Care Manager and Decision Making.

Information Technology (IT) and Health Care Management.

The Scope of Health Care Services, and Recent Trends.

Health Care Services Management.

Distinctive Characteristics of Health Care Services.

Summary.

Key Terms.

2 FORECASTING.

Steps in the Forecasting Process.

Forecasting Approaches.

Summary.

Key Terms.

Exercises.

3 DECISION MAKING IN HEALTH CARE FACILITIES.

The Decision Process.

The Decision Tree Approach.

Decision Analysis with Nonmonetary Values and Multiple Attributes.

Summary.

Key Terms.

Exercises.

4 FACILITY LOCATION.

Location Methods.

Summary.

Key Terms.

Exercises.

5 FACILITY LAYOUT.

Product Layout.

Process Layout.

Summary.

Key Terms.

Exercises.

6 REENGINEERING.

Work Design in Health Care Organizations.

Summary.

Key Terms.

Exercises.

7 STAFFING.

Workload Management Overview.

Summary.

Key Terms.

Exercises.

8 SCHEDULING.

Staff Scheduling.

Summary.

Key Terms.

Exercises.

9 PRODUCTIVITY.

Trends in Health Care Productivity: Consequences of PPS.

Summary.

Key Terms.

Exercises.

10 RESOURCE ALLOCATION.

Linear Programming.

Summary.

Key Terms.

Exercises.

11 SUPPLY CHAIN AND INVENTORY MANAGEMENT.

Health Care Supply Chain.

Summary.

Key Terms.

Exercises.

12 QUALITY CONTROL.

Quality in Health Care.

Quality Measurement and Control Techniques.

Summary.

Key Terms.

Exercises.

13 PROJECT MANAGEMENT.

The Characteristics of Projects.

Summary.

Key Terms.

Exercises.

14 QUEUING MODELS AND CAPACITY PLANNING.

Capacity Analysis and Costs.

Summary.

Key Terms.

Exercises.

15 SIMULATION.

Simulation Process.

Performance Measures and Managerial Decisions.

Summary.

Key Terms.

Exercises.

APPENDIXES.

Appendix A Standard Normal Distribution P(0 < z < x).

Appendix B Standard Normal Distribution P(3.5 < z < 3.5).

Appendix C Cumulative Poisson Probabilities.

Appendix D t Distribution.

References.

Index.

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“Dr. Ozcan’s book does an exceptional job of combining principle and practice. With the increased emphasis on Excel Spreadsheets, this new edition further facilitates the teaching of quantitative analysis to students and the usage by health care administrators.”
Timothy W. Butler, Ph.D., associate professor of information systems management, Wayne State University
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