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 (R) and Tableau (R) 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: Provides a step-by-step approach to mastering quantitative tools for healthcare decision-making. Presents guided video tutorials of key applications in Excel (R) and Tableau (R). Aligns with the 2024 AUPHA Body of Knowledge Domains. Emphasizes data visualization, predictive analytics, and optimization techniques. Includes case studies and examples across various healthcare settings. Qualified instructors have access to expanded Instructor Resources featuring chapter PowerPoints, Test Banks, a Sample Syllabus, an Instructor Manual, datasets, and additional resources to supplement students' dynamic learning and interaction with the text.
Robert J. McGrath, PhD, Professor, Health Management and Policy, University of New Hampshire, Durham, NH Esmaeil Bahalkeh, PhD, MS, Assistant Professor, Health Management and Policy, University of New Hampshire, Durham, NH Lee F. Seidel, PhD, Professor Emeritus, Health Management and Policy, University of New Hampshire, Durham, NH Joanna Gyory, PhD, MS, Lecturer, 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
