How does data evidence matter in decision-making in healthcare? How do you implement and maintain cost effective healthcare operations? Do decision trees help to sharpen decision making? This book will answer these questions, demystifying the many questions by clearly showing how to analyse data and how to interpret the results vital skills for anyone who will go on to work in health administration in hospitals, clinics, pharmaceutical or insurance industries. Written by an expert in health and medical informatics, this book introduces readers to the fundamentals of operational decision making by illustrating the ideas and tools to reach optimal healthcare, drawing on numerous healthcare data sets from multiple sources. Aimed at an audience of graduate students and lecturers in Healthcare Administration and Business Administration courses and heavily illustrated throughout, this book includes up-to-date concepts, new methodologies and interpretations using widely available software: Excel, Microsoft Mathematics, MathSolver and JASP.
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This book effectively exposes and illustrates the ideas and tools for optimal healthcare decisions taken from evidence.
1. Why and how healthcare decisions are made;
2. Are data guided healthcare decisions superior?;
3. Software: EXCEL, Microsoft Mathematics and JASP;
4. How to collect authentic data;
5. Uncertainties and their impact on healthcare decision;
6. Why models are important in healthcare;
7. How healthcare decision trees emerge and function;
8. How are group decisions practiced in healthcare?;
9. Tracing and remedying root causes of adversities;
10. Healthcare decision making for cost-effectiveness;
11. Risk analysis in healthcare decision making;
12. Evaluation of healthcare programs;
13. Six sigma and lean management in healthcare sectors;
14. Forecasting in healthcare sectors.
Ramalingam Shanmugam received Ph.D. degree from Temple University. Since 2016, he is honored with title honorary professor of international studies at Texas State University. He is a passionate teacher. Students nominated him to Honor Society of Phi Kappa Phi. He published over 178 research articles in frontline national and international journals. In 1984, he was elected to be a fellow of the International Statistical Institute. In 2021, he was selected to be a fellow of the American Statistical Association. He is the Book Review Editor for the Journal of Statistical Computation and Simulation. He has published five books.
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