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Quantitative Methods for Health Management equips students with the critical skills needed to analyze and interpret healthcare data, optimize operations, and make informed decisions. This practical and accessible text provides a step-by-step approach to mastering quantitative techniques essential for healthcare management, from data organization and visualization to predictive analytics.
The book guides students through key methodologies, including data systems, process and systems analytics, demand forecasting, and decision modeling. Additionally, with a focus on real-world applications, students will learn how to work with healthcare data, analyze trends, simulate scenarios, and implement data-driven strategies to improve efficiency and outcomes. The text also emphasizes modern optimization techniques critical for healthcare operations management.
Featuring examples from diverse healthcare settings, this engaging textbook fosters a hands-on learning experience. Students will gain insights and skills from essential software tools, including Excel® and Tableau® with integrated video tutorials to enhance comprehension. Quantitative Methods for Health Management prepares students for careers in healthcare management by building the analytical competencies necessary for effective, evidence-based decision-making.
Key Features:
Robert J. McGrath, PhD, Professor, Health Management and Policy, University of New Hampshire, Durham, NH
Preface
List of Videos
Resources
Student Resources
Instructor Resources
SECTION 1. DATA, ANALYSIS, AND TRANSLATION TO ACTION
Chapter 1. Using Quantitative and Analytic Methods for Managing Healthcare Services
Chapter 2. Data, Data Sources, Data Quality, and Foundations
Chapter 3. Statistical and Analytical Foundations
Chapter 4. Data Display
SECTION 2. INTERNAL EFFICIENCY
Chapter 5. Quality and Process Improvement
Chapter 6. Decision Analysis
SECTION 3. MATCHING DEMAND AND SUPPLY
Chapter 7. Capacity Analysis
Chapter 8. Simulation Modeling
Chapter 9. Discrete-Event Simulation and Its Applications
Chapter 10. Queueing and Scheduling
Chapter 11. Inventory and Supply Chain Management
SECTION 4. FORECASTING AND PREDICTION
Chapter 12. Foundations of Forecasting
Chapter 13. Time Series Forecasting Techniques
Chapter 14. Linear Regression Forecasting
Chapter 15. Seasonality and Other Model Considerations
SECTION 5. FINANCIAL ANALYSIS
Chapter 16. The Time Value of Money
Chapter 17. Economic Analysis
SECTION 6. PROJECTS AND STRATEGY
Chapter 18. Project Management
SECTION 7. STRATEGY AND APPLICATIONS
Chapter 19. Postscript: A Framework for Defining, Analyzing, and Solving Managerial Problems
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