Quantitative Methods for Health Management

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.